Reddit is a network of more than 100,000 communities where people can dive into anything through experiences built around their interests, hobbies and passions. Reddit users submit, vote and comment on content, stories and discussions about the topics they care about the most. From pets to parenting, there’s a community for everybody on Reddit and with more than 50 million daily active people, it is home to the most open and authentic conversations on the internet.

Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.

We are looking for a Data Scientist to work with our Content and Communities Team to drive insights on how communities on the platform grow and evolve, as well as, the impact of community growth on content production.  Your work will be critical to furthering Reddit’s mission of bringing a sense of community and belonging to our millions of users.   You will partner with other data scientists, engineering teams, PMs, and designers, and your work will help encourage community participation, content creation, discovery, adoption, retention, and growth.

# How You’ll Have Impact:

Reddit’s mission is to bring community and belonging to everyone in the world, and you will be pivotal in making that happen. A true sense of community and belonging can only be achieved by ensuring that there is a diverse set of communities and content on the platform and that we are able to connect the right people to the right communities.  Your work will directly contribute to those efforts.

# What You’ll Learn:

You will work side by side with some of the best Data Scientists in the world, and will have exposure to everything and anything related to our communities at Reddit. You will also have access to one of the coolest data sets in the world (Reddit’s). 

# What You’ll Do:

* Conduct exploratory analyses on understanding community growth to help shape the work the team undertakes
* Identify the signals that can be best leveraged to connect users to the communities that will inspire them to contribute posts or comments
* Define team metrics and goals and make them easily available through ETLs (extract/transform/load) and reporting dashboards
* Communicate findings and co-design strategy with the most senior leaders in our organization

# Who You Might Be:

* 4+ years of experience in quantitative or data science, or product analytics roles, 
* Proficiency with relational databases (e.g., SQL)
* Familiarity with statistical analysis and programming languages preferred (e.g., R / Python)
* Results-oriented with a strong customer and business focus
* Entrepreneurial and self-directed, demonstrated ability to innovate and bias toward action in fast-paced environments
* Ability to communicate and discuss complex topics with technical and non-technical audiences
* Ability to tackle ambiguous and undefined problems

Python

Senior Data Scientist

The Analytic Consulting Group partners with internal and external clients and data providers, leveraging predictive analytics and advanced statistical techniques to drive strategic thought and effective decision making. The Senior Data Analyst helps support all aspects of analytic initiatives from conception to completion.

# Responsibilities:

* Provide SAS/SQL programming, under general direction, in the execution of data analysis that will contribute to the final project deliverables
* Appropriately account for the timeliness and quality of all assignments
* Collaborate with internal and external stakeholders to manage data logistics - including data transfers, understanding data structures, business rules, etc. - to enable project execution
* QA/QC data and report output to ensure accuracy
* Assist in development of reports, providing content and writing of key observations
* Participate in presentation of reports to key internal and external stakeholders, effectively communicating the key findings and recommendations
* Manage multiple projects concurrently
* Prioritize and monitor project progress relative to timeline and scope

# Minimum Qualifications:

* Bachelor or Master’s degree in a quantitative discipline (statistics, economics, mathematics, marketing analytics)
* Minimum 2 years of experience in marketing analytics field
* Proficient in SAS/SQL; minimum 3 years’ experience
* Proficient in MS Office, including PowerPoint, Word, Excel and Outlook
* Solid planning, priority setting, and project management skills with experience managing multiple projects concurrently
* Excellent verbal and written communication skills
* Successful developing relationships within and across functional teams (including statistical, technical, and marketing resources)
* Strong technical skills

# Desirable Qualifications:

* Advanced degree (Master’s/PhD) in Statistics, Economics or other quantitative discipline
* Ability to program in newer and emerging languages such as R and Python; working knowledge of Hadoop and other big data technologies
* Working knowledge of the mathematical optimization algorithms and tools
* Ability to display data visually, creating powerful presentations which effectively demonstrate the value of analytic deliverables; proficiency with business visualization tools (e.g., interactive dashboard software)

# Additional Information

When you’re one of us, you get to run with the best. For decades, we’ve been helping marketers from the world’s top brands personalize experiences for millions of people with our cutting-edge technology, solutions and services.

Thanks to the work of every employee, Epsilon products and services have been recognized as industry-leading by the Forrester Wave™. We process more than 500 billion consumer actions each day and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. And our CORE ID® is the industry’s most accurate, stable and scalable identity solution that helps brands recognize and reach 200M+ U.S. consumers in a privacy-safe way.

Positioned at the core of Publicis Groupe, Epsilon is a global company with more than 8,000 employees around the world.

# Great People Deserve Great Benefits

We know that we have some of the brightest and most talented associates in the world, and we believe in rewarding them accordingly. If you work here, expect competitive pay, comprehensive health coverage, and endless opportunities to advance your career.

Epsilon is an Equal Opportunity Employer.  Epsilon’s policy is not to discriminate against any applicant or employee based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, color, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information, or any other characteristic protected by applicable federal, state or local law. Epsilon also prohibits harassment of applicants and employees based on any of these protected categories.

Epsilon will provide accommodations to applicants needing accommodations to complete the application process.

For San Francisco Bay and Los Angeles Areas: Epsilon will consider for employment qualified applicants with criminal histories in a manner consistent with the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance and San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance. 

Applicants with criminal histories are welcome to apply.

Analytics

Statistics

Excel

Senior Data Analyst

We are the world’s leading global information services company. During life’s big moments – from buying a home or a car, to sending a child to college, to growing a business by connecting with new customers – we empower consumers and our clients to manage their data with confidence. We help individuals to take financial control and access financial services, businesses to make smarter decisions and thrive, lenders to lend more responsibly, and organisations to prevent identity fraud and crime.

We have 20,000 people operating across 44 countries and every day we’re investing in new technologies, talented people, and innovation to help all our clients maximise every opportunity. We are listed on the London Stock Exchange (EXPN) and are a constituent of the FTSE 100 Index.

# Our approach to flexible working

We care about work that works, whether that’s about where you work or adjusting your hours to fit better with your life. Our flexible working practices, including our hybrid working model where you can split your working time between the office and your home, support our belief that this balance brings long-lasting benefits for our business as well as ensuring that our people can balance successful careers with their commitments and interests outside of work. So that you can love where you work, please discuss what works for you with your recruiter during the hiring process.

# Accepting you, for you.

We want you to feel accepted for who you are and to feel safe, valued and to help us build a culture of true belonging. Experian is proud to be an equal opportunity employer and we take affirmative action to create a more inclusive and equitable world of work. We are committed to equal employment opportunities regardless of age, disability, gender identity, marital status, race, ethnicity, faith or belief, sexual orientation, socioeconomic background, Veteran status or whether you’re pregnant or on family leave.

# Job Description

We are currently recruiting for an integral Data Scientist position in our UK Consumer Information team. This is a fantastic opportunity to be part of a small but extremely capable data science unit within Experian who have recently developed a brand-new product.

No-Questions-Asked (NQA) is a new Experian product that provides loss models to home insurers so they can quote for home insurance based on just the address of the property.  NQA is powered by a dataset of 250 good quality property attributes which are prepared by the NQA team. The modelling is conducted in R and published via an Azure-hosted API.

You will be responsible for developing and automating the data preparation processes for NQA, along with rebuilding and creating new loss models for customers. This will ensure the innovation of NQA and help the product achieve great success within the Insurance world.

Working closely with your team, you will blend a knowledge of modelling and coding with fantastic communication skills to liaise with customers about the technical aspects of the models that you are building for them.

This is an exceptional role for a talented individual with a strong Data Science background to play a key part in an exciting new area of the Experian business!

# Qualifications

We’re looking for someone with a proven Data Science background with developed skills using programming languages such as R.

We’re after a team player with strong communication skills, who enjoys problem solving and has a keen eye for identifying errors and resolving issues. You will ideally have a desire to develop your skills and knowledge and help drive innovation forward within Experian.

It would be great if you have experience in feature engineering and developing inputs for modelling.

Everyone has different experience, and so please don’t rule yourself out if you cannot ‘tick’ all of the qualities mentioned above. Talk to us about the experience that you do have.
  
# Why choose us?

Our colleagues’ health and wellbeing are a top priority for us, that’s why our reward, benefits and wellbeing programmes are designed so you can come to work feeling your very best self. Our benefits focus on health, money, and lifestyle so you can tailor your benefits to your own personal needs. Whether it’s your physical and mental wellness, getting to work or preparing for the next big milestone in your life, we have a range of flexible options to have you covered!

Could this be the role for you? Apply now to start your journey with Experian.

Machine learning

Azure

Data Scientist

Blend360 is a world class marketing, analytics, and technology company that delivers the best results for our clients. Our primary focus is Data Sciences; leveraging data and applied mathematics to solve our clients’ business challenges. Blend360 is known for our exceptional people, our get-it-done mentality, and delivering high impact and sustainable results. If you love to solve difficult problems and deliver results; if you like to learn new things and apply innovative, state-of-the-art methodology, join us at Blend360.

# Job Description

* Work with practice leaders and clients to understand business problems, industry context, data sources, potential risks, and constraints 
* Problem-solve with practice leaders to translate the business problem into a workable Data Science solution; propose different approaches and their pros and cons  
* Work with practice leaders to get stakeholder feedback, get alignment on approaches, deliverables, and roadmaps 
* Develop a project plan including milestones, dates, owners, and risks and contingency plans 
* Create and maintain efficient data pipelines, often within clients’ architecture. Typically, data are from a wide variety of sources, internal and external, and manipulated using SQL, spark, and Cloud big data technologies 
* Assemble large, complex data sets from client and external sources that meet functional business requirements. 
* Build analytics tools to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.  
* Perform data cleaning/hygiene, data QC, and integrate data from both client internal and external data sources on Advanced Data Science Platform. Be able to summarize and describe data and data issues  
* Conduct statistical data analysis, including exploratory data analysis, data mining, and document key insights and findings toward decision making 
* Train, validate, and cross-validate predictive models and machine learning algorithms using state of the art Data Science techniques and tools 
* Document predictive models/machine learning results that can be incorporated into client-deliverable documentation 
* Assist client to deploy models and algorithms within their own architecture 

# Qualifications

* MS degree in Statistics, Math, Data Analytics, or a related quantitative field 
* 2+ years Professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting, optimization 
* Experience with one or more Advanced Data Science software languages (Python, R, SAS)  
* Proven ability to deploy machine learning models from the research environment (Jupyter Notebooks) to production via procedural or pipeline approaches 
* Experience with SQL and relational databases, query authoring and tuning as well as working familiarity with a variety of databases including Hadoop/Hive 
* Experience with spark and data-frames in PySpark or Scala 
* Strong problem-solving skills; ability to pivot complex data to answer business questions. Proven ability to visualize data for influencing. 
* Comfortable with cloud-based platforms (AWS, Azure, Google) 
* Experience with Google Analytics, Adobe Analytics, Optimizely a plus

Hadoop

Locus Robotics is a leader in the supply chain robotics and rapidly growing eCommerce order fulfillment optimization space. Our solution helps warehouse operations attain 2-3X efficiency over cart-based operations by empowering operators to work collaboratively with our robots. This is an opportunity to join an industry leading and innovative team deploying cutting-edge technology to address real-world logistics challenges for major global brands.

Our company is looking for an experienced Data Analyst interested in joining a rapidly expanding global robotics start-up. In this role you will partner with our Sales Engineers and apply your expertise in data analysis to provide meaningful insights and communicate our value proposition to clients. If you are driven by efficiency, eager to solve big data challenges, and excited for an opportunity to grow within the space of robotics – we should talk.

# Job Description

* Assist in the understanding of a client’s warehouse operations through data analysis to support the solution design process
* Analyze order/demand volumes, demand profiles, cube & weight, container selection, slotting, heat maps, and travel path estimates
* Maintain and build Excel-based tools used by the sales team to help determine robot counts, productivities, ROI and savings
* Develop data analysis templates to standardize and streamline the analysis process
* Identify opportunities for continuous improvement of our existing tools
* Assist in the automation of Sales Engineering activities
* Administer, maintain, and improve the Client Metrics database 
* Assist Sales and other Sales Engineers in performing comparative site analysis 
* Work with cross-functional teams on related technologies and tools.
* Assist with Sales Engineering team reporting such as Salesforce.  

# Qualifications

* Bachelor’s degree required
* 1+ years of previous experience as a Data Analyst 
* Advanced Excel proficiency (pivot tables, VBA, macros, XLOOKUP, etc.)
* Experience with SQL, MySQL or another large dataset analytics tool required 
* PowerBI, Tableau or other Business Analytics and Visualization applications a plus
* PowerQuery experience a plus
* This is a remote position based in US.

Tableau

Data Analyst

Founded in 2020, SkillUp Coalition is a 501(c)(3) nonprofit dedicated to helping millions of frontline workers obtain in-demand jobs in high-growth industries.  The Coalition is composed of over 60 training and education providers, employers, tech firms and philanthropies, which enables partners to share best practices, collaborate on shared challenges, and participate in public engagement campaigns that help displaced workers begin a prosperous new stage in their careers.

SkillUp gives frontline workers the opportunity to build new skills that are suited to in-demand jobs with promising career paths.  Since its July 2020 launch, nearly 500,000 workers have visited our curated platform at SkillUp.org, which provides access to three services:

* Career Navigation — Our tools and resources guide frontline workers in choosing a career path that aligns with the economy of the future (partners include Guild Education, Inside Track)
* Training Programs — We help learners find programs that match their career goals and provide funding options to help them cover tuition costs (partners include Generation, edX, YearUp)
* Job Opportunities — We connect workers to open roles or earn-and-learn pathways that match workers’ career aspirations (partners include Walmart, Coolsys, Paschall Trucklines)

All positions at SkillUp are remote, enabling team members to work from anywhere in the US.  With such an important mission, we take our work seriously, but we don’t take ourselves seriously.  We are building a diverse team from all types of backgrounds, so if you feel like you have the ability to perform the responsibilities of the following job description, please consider applying!

# Job Description

SkillUp seeks a curious, creative, dynamic, and passionate Data Scientist who will be responsible for providing the Leadership Team with the analytics, dashboards, and reports across the organization, including Product, Marketing, Partnerships, and Fundraising. 

This role is a remote, full-time opportunity.

# In this position you will:

* Use your skills to explore and identify trends related to productivity of product offerings and site assets. 
* Draw actionable insights from various datasets through effective data visualizations and storytelling
* Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
* Deep dive into marketing analytics to gauge success for awareness and customer acquisition  campaigns
* Deep dive into Google analytics, adoption, and relevance of SkillUp websites
* Identify, secure and overlay existing 3rd party data sources (e.g., equifax) to augment the information available to SkillUp. 
* Conduct ad-hoc analyses exploring topics of interest to SkillUp and our funders.
* Interact cross-functionally, making recommendations at multiple levels of stakeholders.
* Research and develop analysis, forecasting, and optimization methods to improve the quality of SkillUp’s internal and external practices and services.
* Compare analytics across different geographic regions to determine most effective marketing and product tactics to reach audience
* Enhance data collection efforts to capture and report on user feedback, training outcomes, and employment outcomes
* Prepare infographics to visually present key findings to internal and external partners
* Analyzing labor market data to determine best career paths for most economic mobility

# Qualifications

* 2+ years experience in Data Science roles or similar research activities
* Have deep statistical knowledge, utilizing in A/B testing, analyzing observational data, modeling, and other statistical concepts
* Experience articulating and translating organizational questions and using statistical techniques to arrive at an answer using available data
* Strong critical thinking and active listening skills to infer organizational needs and ability to work closely with leadership team at a strategic level
* Experience with statistical software (e.g., R, Python) and database languages (e.g., SQL)
* Experience coding with a general purpose programming language (i.e. Java, C/C++, Python) preferred
* Strong data visualization skills
* Can work independently and collaboratively.
* Ability to exhibit flexibility, initiative, and innovation to succeed in an ambiguous and fast-paced environment

# Benefits

* Healthcare:  We pay 100% of your medical, dental, and vision coverage and 50% of the premium for your spouse and dependents.
* Retirement:  We have a 401k Program with company matching.
* Paid Time Off:  We value work-life balance and encourage our team members to take time off. In addition to 12 Paid Company Holidays, we offer the following paid time off:
* 20 Paid PTO days (25 PTO days after reaching the three-year mark)
* 5 Sick days
* Two weeks of company shutdown during the week of July 4th and between Christmas and New Year’s
* 2 “Floater” days to be used at your discretion
* Parental Leave: To help support new parents in the workplace, we offer 12 weeks of paid parental leave.
* Mental Health and other Supports:  We live in a stressful world that can affect us physically and emotionally,. To support workers’ well-being, we offer, at no cost to workers, mental health support services through BetterHelp.com. We also offer  at no cost to workers, Life Insurance, Short Term Disability, and Long Term Disability benefits.

# Perks

* Flexible Work Schedules: We are 100% remote for the foreseeable future, and will continue to offer flexible schedules. Our policies and norms around work schedules are a recognition that we care about work outcomes over time spent at the office.
* Professional Development: We believe that developing our team members’ skills is a pathway to accomplishing our mission. To this end, we offer you $1,000 annually for the professional development opportunities of your choice.
* Home Office:  We will purchase a work computer for you.  We offer a new hire home office stipend up to $500 for the cost of setting up your home for the office as well as a $75 monthly broadband reimbursement.

# Additional Information

At SkillUp, our mission is to help workers get rehired for in-demand jobs in high-growth industries. Success in this mission requires that we don’t just accept difference—but that we celebrate it and embrace the diverse community and backgrounds individuals come from. In short, it’s one of our key values. 

A/B testing

# About M3 Inc

Founded in 2000, with start-up investment capital from Sony, M3’s mission is to make use of the internet to increase, as much as possible, the number of people who can live longer and healthier lives, and to reduce, as much as possible, the amount of unnecessary medical costs. Key achievements of M3 Inc. include:

* Named in Fortune’s 2020 ‘Future 50’ list, ahead of Facebook and Amazon
* Ranked in Forbes’ 2020 Global 2000 list of the world’s largest public companies
* M3 is the only company incorporated after the year 2000 to be included in the Nikkei 225 Index
* Listed in Forbes’ ‘Asia’s 200 Best Over a Billion’ in 2019
* In 2020 M3 founded the ‘M3: Stop COVID-19 Fund’ and pledged one billion yen to support COVID-19 related initiatives

M3’s legacy lies in the power of trusted physician platforms. Around the world, M3 organisations leverage these highly engaged digital communities to deliver medical education, job placement, and market research, to improve global patient outcomes.

This role is part of Doctors.net.uk, a subsidiary of M3 Inc., which is an online closed community for doctors in the UK and one of the first of any networking sites to be introduced on the web.  It is the UK's largest professional network of doctors.  By serving to healthcare professionals and enhancing the platform, we are providing the best-in-bleed services to support pharmaceuticals and other providers to perform the best medical communications to healthcare professionals in the region.

# Job Description

Doctors.net.uk is seeking a Product Data Scientist to be part of Engineering Team, reporting into Head of Data, to perform the role of Business Insight Partner for the Product Team and use their expertise to define methodologies of data analysis and provide insights that will ultimately lead to production development.

## Essential Duties and Responsibilities (overall summary of the role):

Including, but not limited to the following:

ROADMAP DATA TOOLKIT:
* Evaluate and define prioritisation metrics and evaluate progress against our company's financial targets (top down)
* Define the relative value of each of our products to create a visual representation of priority and potential success of each item on a roadmap
* Influence the strategic direction of the Product Development Roadmap by identifying opportunities with the available data sets
* Instill data-driven decision making into the product team’s methodology

OPTIMISATION TOOLKIT:
* Devise a continuous multivariate testing and evaluation framework for current products/features
* Define core quantitative user behaviour research techniques to identify the spectrum of relevant user behaviour metrics and combine them with qualitative analysis, competitive analysis and financial analysis
* Observe and investigate any changes and trends in user behaviour and promptly explore and explain the reasons for the shifts
* Generate insights and testable hypotheses to improve products and features - regularly break down KPIs into the levers we have to impact them, guiding product stakeholders on where they can have an impact
* (Continue to) define KPIs on each project that can be monitored once in production

## Qualifications

* At least 3 years’ experience in data analysis to provide insights, preferably in business decision making or product development.
* Python /R /SQL - Data Science / AI /Machine Learning expertise
* Proven Analytical Mindset defining KPIs to achieve the goals with data visualisation skills using tools like Qlik view / Qlik Sense or other Visualisation tools      
* Product analyst background from Media / Publishing / Digital marketing/ E-commerce or similar background is highly desirable
* Must be a Thought Leader with experience demonstrating introducing innovation.  
* Applied knowledge of data & analytics tools and approaches across all data lifecycle stages.
* Assessments and evaluating impacts of missing/unusable data; design and select features, develop, and implement statistical models using algorithms on diverse sources of data and testing and validation of models.
* Utilise analytical applications like Python/ R etc, to identify trends and relationships between different pieces of data, draw appropriate conclusions and translate analytical findings into business strategies or analytics software.
* Advanced knowledge and commercial experience using SQL and Python or R.
* Excellent understand of A/B testing and experimentation.
* Strong business acumen - user behaviour analysis through the lens of our business goals.
* Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail.
* Strong communication and stakeholder management skills -
* A bold thought partner to the product team
* A decision scientist who can help us forecast our future successes

# Employee Benefits:

* 25 days annual leave
* Participation in a company bonus scheme linked to personal and company performance
* Group Life Cover 4x salary
* Pension 4%/4% employee/employer contributions
* Vitality after probation
* Staff discount scheme
* Discounted gym membership​

Product Data Scientist

At Fannie Mae, futures are made. The inspiring work we do makes an affordable home a reality and a difference in the lives of Americans. Every day offers compelling opportunities to modernize the nation's housing finance system while being part of an inclusive team using new, emerging technologies. Here, you will help lead our industry forward, enhance your technical expertise, and make your career.

# Job Description

As a valued colleague on our team, you will use moderately complex techniques to produce insights, new product or change recommendations, process improvement or automation, and predictive modeling. You will use data mining and data analysis methods, be adept with common large data processing techniques, computational programing capabilities, practical problem-solving skills, and have an ability to articulate solutions to non-technical consumers or partners. As a senior associate, you will partner with data engineering and data management teams, and apply data mining techniques to external or created data sources in preparation for analysis or use of enterprise data assets.

# THE IMPACT YOU WILL MAKE

The Senior Data Science Associate role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:

* Formulate mathematical or simulation models of problems, relating constants and variables, restrictions, alternatives, conflicting objectives, and their numerical parameters.
* Observe the current system in operation and gather and analyze information about each of the parts of component problems, using a variety of sources. Conduct research to gain information about products or processes.
* Proactively analyze information obtained from management to conceptualize and define operational problems. Analyze data to identify or resolve operational problems.
* Study, teach and analyze information about alternative courses of action to determine which plan will offer the best outcomes.
* Collaborate with product and/or business owners, data engineers, and platform teams to understand business needs and current capabilities, data availability, and alternative uses.
* Implement new statistical modeling capabilities.
* Apply predictive analytic capabilities to enhance the delivery of business applications, and support the integration of data and statistical models or algorithms. Apply industry practices in research and testing to product development, deployment, and maintenance .
* Design new modeling applications to support risk measurement, financial valuation, decision making, and business performance.
* Design data visualizations, technical documentation, and non-technical presentation materials to communicate complex ideas and solutions to business partners.

# THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experiences

* 2 years
* Desired Experiences
* Bachelor degree or equivalent

## Skills

* Skilled in presenting information and/or ideas to an audience in a way that is engaging and easy to understand
* Focused experience in artificial intelligence (AI), including machine learning and natural language processing (NLP)
* Skilled in creating and managing databases with the use of relevant software such as MySQL, Hadoop, or MongoDB
* Programming including coding, debugging, and using relevant programming languages
* Skilled in documentation and database reporting for the purposes of analysis, data discovery, and decision-making with the use of relevant software such as Crystal Reports, Excel, or SSRS
* Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data
* Determining causes of operating errors and taking corrective action
* Expertise in using statistical methods, including: developing and testing hypotheses, using experimental design, and running linear and logistic regressions
* Skilled in cloud technologies and cloud computing
* Business Insight including advising, designing business models, interpreting customer and market insights, forecasting, benchmarking, etc.

## Tools

* Experience using APIs for developing or programming software
* Skilled in Python object-oriented programming
* Skilled in SQL
* Skilled in AWS Machine Learning tools such as SageMaker, Lex, Polly, or Forecast
* Experience using JIRA
* Experience using GitHub
* Skilled in Tableau
* Skilled in Excel
* Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms
* Experience using BitBucket

Senior Data Science Associate

PubW is a bespoke business unit set up to bring the full power of the Publicis Groupe together to support Walmart’s media and data needs. Through our Power of One model, we put Walmart at the center bringing together specialists in strategy, media investment, data, influencers, commerce, and content delivering a highly connected, purpose-led and collaborative approach for our clients.

PubW’s mission is to help Walmart navigate a period of intense change, continually keeping them “one more step ahead”. This means challenging conventions, driving continual progress, and pushing the marketplace to keep Walmart at the forefront of the media industry. Our approach is grounded in using data and technology to connect with real people across the full funnel, ensuring that Walmart’s investment in media is directly contributing to innovative marketing experiences, driving brand and business growth.

# What does Zenith Data Sciences do? 

Working closely with both the Business Planning and Analytics teams, Data Sciences designs and implements statistical models and machine learning solutions that tie our clients’ marketing to real-world businessgoals. We use these models to understand past performance, predict future performance, and inform and optimize future decisions. Our work brings our clients closer to their marketing, helping them understand if they are talking to the right people in the right way.

# What does a successful Senior Data Scientist look like? 

We don’t all look the same, and we don’t expect you to, either. But a successful Senior Data Scientist should share our passion for emerging tech and media, bring an evidence-based approach to decision-making, determine a point of view and share it in a positive way, gear up for a challenge, and always crave to learn more and improve. We are looking for prior experience in marketing analytics, especially digital creative and media, but this isn’t necessarily a requirement. At least 4-5 years of prior professional experience is highly desired.

# What does a Senior Data Scientist do day-to-day? 

Senior Data Scientists form the foundation of the Data Sciences team, structuring and analyzing data, implementing and interpreting models that feed business-improving insights, and putting it all together into presentations that bring the story to life for our clients. Senior Data Scientists work closely with the Data Science Manager to help execute the broader vision for their account, and to continually evolve our Data Science solutions. Day-to-day responsibilities include:

* Design and interpret randomized controlled tests to study a variety of marketing stimuli.
* Design, estimate, tune, score and maintain advanced statistical and mathematical models (e.g. classification, numeric forecasts, customer segmentation, customer propensity, attribution, etc.).
* Produce accurate statistical analysis and ensure high quality of the data analysis produced. Interpret, document and present/communicate analytical results to multiple business disciplines, providing conclusions and recommendations.
* Take analytical objectives and define data requirements. Extract, clean, and transform both customer level, and aggregated data for analysis, modelling, segmentation and reporting.

# Requirements

* 4+ years of work experience in quantitative analysis with proven results in leveraging customer/transaction to address business objectives
* Bachelor’s degree in a STEM or other related field, or equivalent work experience.
* Strong knowledge of Relational Databases and SQL programming.
* Highly proficient in at least one popular programming language used for Machine Learning, such as Python or R.
* Solid understanding of mathematical modeling, probability and statistics, and the design and simulation of stochastic systems.
* Familiarity with the mathematics behind important statistical learning algorithms such as ARIMA, Linear Regression, Logistic Regression, Centroid-based and Hierarchical Clustering, Principal Component Analysis (PCA), Decision Trees/Random Forest, Bayesian Inference, Markov Chain Monte-Carlo (MCMC).
* Strong communication skills. Ability to speak and write professionally. Ability and comfort with presenting work by phone or within small groups. 
* World-class customer service skills. Ability to service clients, partners and internal stakeholders by understanding their needs, translating those needs into creative solutions, and delivering on those solutions with diligence and a sense of urgency.

# Preferred Experience

* Familiarity with common advanced marketing analytics solutions such as Marketing Mix Modeling (MMM), Multi-touch Attribution (MTA), and Dynamic Content Optimization (DCO).
* Familiarity with the capabilities and mechanics of a broad range of advertising media channels, such as Television, Radio, Print, Search, Display, Email, Ecommerce, and Social.
* Familiarity with the capabilities and mechanics of a broad range of marketing measurements and technologies such as Ad Servers, DSP, DMPs, CRMs, and Syndicated Research.
* Knowledge of other Machine Learning techniques such as Natural Language Processing (NLP) and text mining, and Neural Networks is a plus.

Algorithms

BlueOptima provides industry-leading objective metrics in software development using our proprietary Coding Effort Analytics. We enable large organisations to deliver better software, faster and at a lower cost. Founded in 2006, BlueOptima is a profitable, high-growth independent software company. Our unique technology was initially devised in seminal research carried out at Cambridge University. 

We are headquartered in London with offices in New York, Phoenix, Bangalore, Gurgaon and Guadalajara.

BlueOptima’s technology is deployed by global enterprises to drive value from their software development activities.

We work with 12 of the Fortune 50 Companies, 4 of the top 10 biggest banks by market capitalisation and 6 of the S&P 50 Companies (by revenue).

Our technology is pushing the limits of complex analytics on large data-sets with more than 15 billion static source code metric observations of software engineers working in an Enterprise software development environment.

BlueOptima is an Equal Opportunities employer.

# Whom are we looking for?

Our groundbreaking technology is built on top of billions of data points that are representative of a developer’s interaction with Source and Task tracking systems. The enormous amount of data BlueOptima processes on a daily level requires specialists to dive into the dataset, identify insights from the data points and device solutions to extend BlueOptima’s product suite.

We are looking for talented data analysts who are critical of data and curious to determine the story it narrates, do not shy away from large datasets and are aptly able to use any and all tools available at their disposal to interrogate the data.

A successful candidate will turn data into information, information into insight and insight into product features. Lead a team of analysts to analyse BlueOptima’s large datasets and build a team around themselves.

# What does the role involve? 

* Acquire data from primary or secondary data sources and maintain data systems and pipelines
* Identify, analyze, and interpret trends or patterns in complex data sets using statistical techniques
* Implement automation, dashboards and reporting to reduce manual review of raw data to minimum required
* Collaborate with Machine learning team to complement the Model generation and performance tracking by bringing in insights in form of statistical analysis
* Work with product and business teams to identify important questions and help them answer these with data
* Mine and analyse large datasets, draw valid inferences and collaborate with Product team on feature suggestions and development
* Prepare reports for internal and external audiences using business analytics reporting tools to showcase product strengths and use cases

# Qualifications

* Bachelor/Master’s degree in Statistical/Analytical/Mathematical Degree or equivalent expertise in an analytical role.
* A minimum of 3 years of relevant experience (Internships or Work Experience) in Data Science, Data Analytics or Business Intelligence
* Demonstrable experience of having lead a team of 2 to 3 analysts to a common goal
* Proficient in using Python for data analysis. Being able to write code beyond Jupiter notebook, which is well documented and reusable code
* Proficient in use of BI Tools like, Tableau, Grafana, Kibana, etc
* Strong understanding of SQL semantics and ability to write efficient queries to extract data from large datasets.
* Strong fundamentals in Statistical Analysis, and ability to use R/Python or a similar language for the purpose of analysing data
* Can-do attitude and does not shy away from manual review of datasets where required

# Why Work For Us?

* Above market remuneration
* Stimulating challenges that fully utilise your skills
* Work on real-world technical problems to which solution cannot simply be found on the internet
* Working alongside other passionate, talented engineers
* Our fast-growing company offers the potential for rapid career progression

At RevoU, we are on a mission to transform the state of higher education in Southeast Asia, and together with it, the lives of millions of people.

We are building a more effective alternative to traditional universities and vocational schools, rethinking how education should serve both students and employers' needs in Indonesia's booming digital economy.

Working hand in hand with industry leaders, top companies and learning scientists we develop together the most effective programs to deliver the learning that today’s job market needs. We obsess about our students' success and are relentlessly driven by unlocking each of our student’s full potential, regardless of their background.

In the short span of two years we have already helped hundreds of students transform their careers, with thousands more waiting to start their journey with us in the upcoming months.

# Role Description

Are you an experienced Data Analyst or have managed a team of Data Analysts? Are you excited to help other people improve their life through education, more specifically unconventional education that focuses on the students’ career success? If the answer is yes, this would be something interesting for you!

Here at RevoU we aim to help those who want to kick start their career as Data Analyst within the Tech industry. We teach them the foundation of Data Analysts skills for a duration of three months and provide them an opportunity thereafter to put their knowledge to practice.

RevoU has a project-based apprenticeship where they have a chance to implement their skills with real companies. See our program here. We like to see this as a win-win solution, helping companies who partner up with us to achieve their goals by providing a high-quality data team.

As a Data Analytics Strategist, you will manage accounts and Data Analytics/data activity of clients and you will mentor RevoU students to work on internal and client’s projects. You will be helping our students prepare their portfolio and gain real experience from the projects before they work for the company!

The position is perfectly suited for individuals with 2-3 years of work in Tech Startup Company with a big data approach.

Come join us if you are an individual with high curiosity, as we are going to try out many plans, launch new initiatives, and explore new tools to make sure we’re continually improving every process. And the passion to coach students to be successful in becoming a Data Analytics strategist (just like YOU!)

Oh, and you will be based wherever you want (we are a fully distributed company).

Education is a socio-economic escalator that can transform lives. If you seek a legacy of social impact, join us on the ground floor as a primary force to revolutionize education for millions of people!

# More specifically you will:

## Support client success

* You will lead the discussions to understand clients’ data-driven goals, product knowledge, and target customers
* You will lead the students to generate valuable data-driven insights your clients
* You’ll develop insights, strategies and present them to your clients
* You regularly sync with clients to track progress and propose optimization plans and ensure the success of RevoU clients' projects.

## Support student’s success

* Roll out initiatives to upskill students’ data expertise by teaching the necessary skills (communication, negotiation, and other skills).
* Roll out internal projects and iterate on the project syllabus to make sure we will continue to improve.
* Monitor reporting & optimization strategies and coach students for their success.
* Collaborate with RevoU internal teams such as career placement teams, finance, business operations, and faculty to improve the learning experience and hireability of students.

# Requirements:

* Have a track record of working in a tech startup, big data organization
* Have experience in leading a data team is preferable
* Good to have: experience and good understanding of insight generation and managing data projects
* Growth mindset - excited to learn and improve. You enjoy going out of your comfort zone, you are constantly looking at new opportunities to improve the efficiency and effectiveness of your work and how things are done.
* Comfortable with data and reports to draw key insights, and use data to create and execute a plan
* Experience working in a fast-paced environment that iterates on weekly or monthly cycles rather than semester or annual cycles
* Passionate about education and obsessed about seeing our students succeeding in their career: we are building a culture of people obsessively passionate about our mission and the impact we can have on the lives of millions of people

# Benefits

## Our first promise - the ride of a lifetime

You will be joining the company in its most exciting phase, where things will move and change at a crazy pace and where the impact you will have on the overall business trajectory will be huge. You will witness the rapid scaling of our organization from just a few of us (we are still a relatively small team of 80 people) to hundreds of incredibly talented and diverse people in the months and years to come.

## The second promise - a good place to work

We are building a company that takes the growth of its employees on the same level as that of its students. It’s our mandate to make every one of our employees perform at the maximum of their capacity so that they can do here, at RevoU, the very best work of their lives. In practical terms:

We deeply value employee appreciation and we are going the extra mile to make everyone’s work feel appreciated and valuable

We are creating a culture of transparency and radical, caring feedback. That is, of radical candor, to keep a zero-tolerance for bad management, making coaching and mentoring one of our fundamental values, not only towards our students but also towards our employees. For a more in-depth view of the type of organization we are building, you can read some of our Founder’s thoughts on these topics

## The third promise – you will feel proud about your work

We believe that finding a fulfilling career should be among the most important priorities in one's life and that today’s job market offers endless opportunities to change the lives of many, for the better. You will play a fundamental role in making this possible.

And nothing will beat the sense of accomplishment once you will see that happening. Especially once you see that happening at scale.

These are the 3 most important promises we are making to you.

If you are looking for typical ‘startup’ benefits: flexible and remote working environment, an attractive package, premium health insurance, etc -- we are offering you all these benefits as well.

But don’t join us for these, join us first and foremost for the 3 reasons above.

Big Data

Data Analytics Strategist

Mirantis helps organizations ship code faster on public and private clouds. The company provides a public cloud experience on any infrastructure from the data center to the edge. With Lens and the Mirantis Cloud Native Platform, Mirantis empowers a new breed of Kubernetes developers by removing infrastructure and operations complexity and providing one cohesive cloud experience for complete app and devops portability, a single pane of glass, and automated full-stack lifecycle management with continuous updates.

Mirantis serves many of the world’s leading enterprises, including Adobe, DocuSign, Liberty Mutual, PayPal, Reliance Jio, Societe Generale, Splunk, and Volkswagen. Learn more at www.mirantis.com.

# Job Description

Mirantis Inc. is looking for a Senior Data and Business Analyst to help advance the role of analytics in decision making. This position will participate in the full lifecycle of data product development: requirements gathering, model design, data mapping, product integrations, and presentation. You’ll be creating Looker-based data experiences such as data dashboards, graphs and visualizations to help our data tell a story.

REMOTE OPPORTUNITY - MUST BE LOCATED IN US OR CANADA

# Main Responsibilities:

* Gather, synthesize and document detailed business requirements using appropriate tools and techniques
* Collaborate with the business to develop and track key performance indicators
* Create compelling data dashboards, graphs and visualizations
* Prepare reports for both internal and external audiences
* Create and maintain optimal data pipeline architecture
* Manage the set-up and configuration of BI systems
* Develop and implement maintenance procedures, monitor BI systems health, gather system statistics, and troubleshoot reported errors and alarms
* Monitor and audit data quality

# Qualifications

* Bachelor degree
* 4+ years experience with a data visualization platform such as Looker or Tableau
* 2+ years experience conducting responsibilities in business analysis and/or liaison work
* Strong analytical skills and an eagerness to learn
* Proven ability to assess business needs and translate them into relevant solutions
* Experience using Salesforce
* Experience with a relational database (Snowflake Data Warehouse preferred) and SQL 
* Understanding of systems engineering concepts
* Excellent English communication skills, both written and verbal
* Sponsorship not available

# What does Mirantis offer you?

* Work with an established leader in the cloud infrastructure industry.
* Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies.
* Be a part of cutting-edge, open-source innovation.
* Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued.
* Receive a competitive compensation package with strong benefits plan and stock options.

Salesforce

North America

Senior Data and Business Analyst

MindPoint Group delivers industry-leading cybersecurity solutions, services, and products. We are trusted cybersecurity advisors to key government and commercial decision-makers and support security operations for some of the most security-conscious organizations globally. 

Our relationship with you is for the long run because your success is our success. We invest in your success through fantastic benefits (healthcare, generous PTO, paid parental leave, and tuition reimbursement, to name a few). 

Beyond just excellent pay and benefits, you’ll want to work here for reasons that can’t be written into an offer letter—the challenge, growth opportunities, and most important: the culture of a company that cares about you. 

# A position at MPG promises you 

* A diverse organization 
* A safe workplace with zero tolerance for discrimination or harassment of any kind  
* A balanced work life. Seriously.  
* A stable, established, and growing business
* A leadership team focused on your professional growth and development

# Job Description

This position is contingent upon award. MindPoint Group, LLC has an exciting opportunity to join our team at one of our largest clients. We have multiple opportunities for Data Analysts and a Data Scientist as well. you will join an experienced group that is motivated to provide excellent services in defending federal infrastructure. We are seeking Data Analysts and a Data Scientist to help discover actionable insights from large data sets and make better decisions in support of our client’s mission.

* Responsible for Identity, Credential, and Access Management (ICAM) data governance, data visualization, data quality management, and enterprise data value realization
* Identify and evaluate data sources to support the ICAM data analytics function, and recommend the implementation of new data collection instruments to support the program’s continuous improvement
* Implement automated data collection and aggregation from a variety of sources, such as Cyber Security Assessment Management (CSAM), Phishing, and ticketing tools, and other in-house databases
* Conduct analysis of activities and value generation using a variety of analytics and statistical methods
* Transform raw data and analysis into data visualizations and interactive dashboards using dashboard tools
* Derive insights from data analysis, conduct root-cause analysis of operational issues identified by the data, and provide recommendations to remediate operational issues
* Support the integration of new data sources and analysis into DOJ’s Security Posture Dashboard Reports (SPDR) system
* Deliver presentations and briefings to federal senior executives, management, and team leads
* Provide training on the use of interactive, self-service dashboards to senior executives, management, and team leads
* Develop documentation on the requirements for analytics work products, data models, and the process for testing and distributing work products
* Work as part of a multi-disciplinary team in a fast-paced, solutions-oriented environment focused on client deliverables and analysis

# Qualifications

* Top Secret clearance (SCI eligible) is strongly preferred but will consider exceptional candidates who are Public Trust eligible
* 3+ years experience as a Data Security Analyst or equivalent knowledge
* Must have relevant experience in providing support to federal government clients, preferably in support of ICAM program
* Bachelor's degree or higher in Engineering, Computer Science, Data Science, or Statistics or similar field
* Experience working in a Lean-Agile environment
* Hands-on experience with current Business Intelligence tools, like MS PowerBI or Tableau
* Understanding of security topics, such as cybersecurity awareness training, phishing training, and risk-based decision-making
* Strong analytical skills with the ability to analyze data and identify trends
* Experience leading or supporting multiple projects simultaneously
* Ability to connect business outcomes with operational and technological considerations
* Highly organized with critical thinking abilities at both the strategic and tactical levels
* Ability to communicate clearly (written and verbal) and navigate at all levels in the organization with the detail appropriate to the forum and audience
* Excellent facilitation/presentation skills, experience with briefing senior leadership
* Proficient in Microsoft Office (Word, Excel, PowerPoint, Visio, and MS Project)

# Desired Skills

* Experience in managing large transformational data-driven projects in the cybersecurity space
* Previous experience collecting, analyzing, and reporting ICAM data for an enterprise cybersecurity office
* Experience with CSAM and SPDR are a plus

# Work Environment

While this position is fully remote, preference will be given to candidates who reside in the Washington, DC area. For candidates outside of the Washington, DC area, travel up to 10% to Washington, DC area will be required post COVID.

Agile

# We’re changing it up  

We’re on a mission to build the UK’s finest digital infrastructure and unleash Britain’s potential. Together, we’re achieving incredible things. We may have big ambitions, but we never lose sight of what matters. That’s why we’ve created an open, inclusive environment where people can be themselves, where wellbeing and mental health come first, where we take a flexible approach to working, and where everyone has the chance to pursue their passions, keep learning and grow their careers. We’re changing up Britain and we’re changing up the workplace with better rewards, more opportunities to grow and the chance to make a difference to communities across the UK.   

# A rewarding career  

We’re passionate about our work and we’re passionate about our people too. With a salary of up to £47,849 depending on experience, when you join the CityFibre family you’ll also enjoy benefits like 25 days’ holiday, a day off on your birthday, a day off to support a charity or organisation of your choice, performance-related bonus scheme, and private healthcare. 

# How can you change it up? 

As our Data Analyst, you will be leading and managing collations and cleansing data, supporting data and marketing teams to deliver large, clean data sets to marketing and partners for multichannel campaigns and supporting the analysis of campaign performance. 

One of your key responsibilities will be to manage data sets for campaign launches and reporting using R/Python to support standard reporting. In addition to this, you will be expected to manage campaign testing, agree on testing criteria as well as supporting datasets, manipulating the data to meet testing criteria. You will ensure all testing is captured, analysed and reported upon with support of the wider Data Insights team benchmarks, proving campaigns effectiveness. Some of your other duties will include: 

* Supporting the development of key metrics, targets and performance KPI’s and the migration of reporting from Excel to Tableau
* Working with wider Data insight, IT and marketing teams to ensure data integrity and regression issues are picked up quickly - build reconciliation monitoring.
* Measuring the effectiveness of campaign activity and multichannel marketing initiatives to provide customer level insights to inform future benchmarks and targets. 
* Interfacing with the wider business and external partners to ensure clarity of requirements, efficient adoption of new data sets, testing strategy and plans,  reports and dashboards as required

# What will you bring to the role? 

We are looking for a motivated, team player who has significant experience working with large sources of structured and unstructured data to understand marketing and sales performance to deliver greater understanding and ROI. You will also need experience working with large complex datasets, preferably in a marketing / customer role. It will be beneficial if you are experienced with data visualisation platforms such as Tableau/Qlikview or PowerBi. 

It is essential that you have extensive experience with one or more coding languages such as R, Python, Matlab and SQL. Alongside this, you will need to demonstrate experience in analysing complex marketing and sales performance data. You will also need to provide evidence of working in a fast-paced, growth-oriented environment, juggling multiple projects against tight deadlines.  

It is also desirable that you have:

* A GCSE level or equivalent in Maths and / or Statistical Analysis
* Experience developing key metrics and management reporting
* Excellent communication skills so that you can effectively present findings to stakeholders
* Expertise in joining large datasets, segmenting data for differing channels and partners to support campaign launches
* Experience leading the development of supporting campaign testing strategies: segmentation, control groups and A/B testing
* Management reporting experience
* Good presentation writing skills, high quality translation of analytics into stakeholder reports

# Our unique culture  

We are proud to be an equal opportunity employer; we celebrate diversity, we believe everyone has a voice and we’re committed to creating an inclusive environment for all. Even though we come from different backgrounds and do different jobs, we’re united by The CityFibre Way - our unique code of behaviours that inspires how we think, act and work. We back each other, think smart and act fast, and we’re passionate about giving it our best to build a legacy together.  

At the heart of what we do is help clients manage risk. Verisk (Nasdaq: VRSK) provides data and insights to our customers in insurance, energy and the financial services markets so they can make faster and more informed decisions.   

Our global team uses AI, machine learning, automation, and other emerging technologies to collect and analyze billions of records. We provide advanced decision-support to prevent credit, lending, and cyber risks. In addition, we monitor and advise companies on complex global matters such as climate change, catastrophes, and geopolitical issues.  

But why we do our work is what sets us apart. It stems from a commitment to making the world better, safer and stronger.  

It’s the reason Verisk is part of the UN Global Compact sustainability initiative. It’s why we made a commitment to balancing 100 percent of our carbon emissions. It’s the aim of our “returnship” program for experienced professionals rejoining the workforce after time away. And, it’s what drives our annual Innovation Day, where we identify our next first-to-market innovations to solve our customers’ problems.   

At its core, Verisk uses data to minimize risk and maximize value. But far bigger, is why we do what we do. 

At Verisk you can build an exciting career with meaningful work; create positive and lasting impact on business; and find the support, coaching, and training you need to advance your career. We have received the Great Place to Work® Certification for the fifth consecutive year. We’ve been recognized by Forbes as a World’s Best Employer and a Best Employer for Women, testaments to our culture of engagement and the value we place on an inclusive and diverse workforce.  Verisk’s Statement on Racial Equity and Diversity supports our commitment to these values and affecting positive and lasting change in the communities where we live and work.  

# Job Description

Verisk Insurance Solutions is looking for a Senior Data Scientist to join the Claims team. 

* Serve as the technical resource in the conception and development of new predictive modeling initiatives, with some supervision
* Suggest and develop innovative analytic methods that result in a technically superior product and/or create a competitive advantage, as well as meet design requirements and project timeline
* Research, evaluate, and recommend internal and external data sources and coordinate with data resources
* Serve as the senior technical person on data cleansing, variable creation, variable transformation, etc., as well as best-practices in the creation of analytic datasets
* Serve as the consummate technical person in model development and validation analyses - from driving pragmatic practice of methods to devising novel solutions and diagnostic measures, to coaching and mentoring junior staff
* Act as senior technical person in development and execution of methods to address needed business diagnostics; review, and aid productization and deployment
* Provide significant input to Product Management on implementation specifications and production testing
* Act as senior technical person to develop process and metrics to monitor model performance
* Review reports and make recommendations for needed model refits / enhancements
* Keep abreast of business trends / product needs
* Research literature to stay current on technical methods to solve specific problems

# Qualifications

* Graduate degree (M.S. required, Ph.D. preferred) in a quantitative discipline
* 2+ years professional experience building predictive and descriptive models
* Exposure to the property & casualty industry is desirable, and experience with medical, clinical, fraud & abuse and pharmacy data analytics is a big plus                                                 
* Experience, and expertise in diverse statistical and data mining techniques (e.g. - GLM/Regression, Boosting, Random Forest, Trees, Clustering, PCA, SVM, text mining, social network analysis etc.)
* Demonstrated proficiency with statistical packages in Spark ML-Lib, Python, R, or SAS is a must
* Ability to program in Python, Spark, Scala, R, or SAS is highly desirable
* Understanding of RDBMs and interactive SQL programming skills are a must
* Experience with Big Data technologies like Hadoop, Spark, Hive, NoSQL, etc., and Cloud technologies (AWS, Azure, etc.) is highly desirable
* Aptitude for picking up new technologies is expected

“The front page of the internet," Reddit brings over 430 million people together each month through their common interests, inviting them to share, vote, comment, and create across thousands of communities. Come work with one of the richest datasets in the world and make an impact on the lives of Redditors everywhere.

Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic. Learn more about how we're evolving Reddit's workforce here.

We are looking for a results-oriented and strategically minded Senior Data Scientist, Product Analytics to work with our International Growth team as Reddit expands its user base to emerging markets. This is a truly zero-to-one role where you will be able to work with Product, Engineering and Design to uncover greenfield and white space opportunities on how to grow Reddit’s presence in emerging markets.

# How You’ll Have Impact:

Today the majority of Reddit’s user base lives in the US. Reddit’s mission is to bring community and belonging to everyone in the world, which means we’ll be making a major push to expand our audience internationally. We’ve identified emerging markets as a key opportunity and need you to be a key player in exploring and understanding the key levers to drive growth.

# What You’ll Learn:

As a Data Scientist, you will become an expert in improving Reddit’s product-market fit for a global user base. You’ll be pivotal in understanding how emerging market users interact with our product today and how that differs from other audiences. You’ll be a champion to the users through evaluating performance of existing Reddit features for emerging market users, as well as uncovering opportunities for new experiences that are optimized for lower bandwidth internet connections.

You will work side by side with a world-class org of Engineering, Machine Learning, Search, Community Operations, Product Management practitioners who work together to create a variety of capabilities for Reddit to be more successful in its decision-making and product creation. In this process, you will be exposed to a variety of new techniques in experimentation, machine learning, and exploratory analysis.

# What You’ll Do:

* Partner cross functionally with Eng and Product leads to help define and execute international growth’s emerging market roadmap and initiatives as well as play a key role in Reddit’s first emerging markets playbook
* Become the expert at understanding user behavior and long-term trends in emerging markets
* Generate data-driven insights that propose next steps in the strategic roadmap including opportunity sizing new initiatives such as alternative onboarding and leveraging new technologies localized to emerging markets
* Design and evaluate A/B tests for product feature experiments to determine the effectiveness of product strategy
* Define team metrics and goals and work with the Data Warehouse team to create ETLs (extract/transform/load) and reporting dashboards

# Who You Might Be:

* 6+ years of experience in quantitative analytical roles, preferably for growing at-scale consumer products outside the US
* Proficiency with relational database (e.g., SQL)
* Familiarity with statistical analysis and programming languages (e.g., R / Python)
* Results-oriented with a strong customer and business focus
* Entrepreneurial and self-directed, demonstrated ability to innovate and bias toward action in fast-paced environments.
* Ability to communicate and discuss complex topics with technical and non-technical audiences
* Ability to tackle ambiguous and undefined problems
* Previous experience with emerging market preferred

GumGum is a global technology and media company specializing in contextual intelligence. For over a decade, we have applied our proven machine learning expertise to extract value from digital content for the advertising industry. The company’s contextual advertising engine, Verity™, comprehends the meaning of text, images and video online, allowing marketers to safely and precisely place ads where people are most engaged. Combining that contextual targeting and brand safety intelligence with proprietary high-impact ad formats, GumGum’s advertising solutions deliver industry leading efficiency, accuracy and performance.

The Data Engineer is responsible for building and maintaining our Data Engineering systems that drive numerous business functions using near real-time data analytics solutions. This role has a core focus on improving performance and scalability of key Data Engineering systems that are essential for operating our advertising business.

Behind the scenes, the Data Engineer will be working with large datasets at the scale of billions of events each hour so it is important that the person in this role is comfortable working with distributed computing in a highly scalable, cloud-based environment. Reporting to our Engineering Manager, this role works as part of a team of engineers in the technology division of our Advertising business.

# Responsibilities

* Build, maintain, and improve our data infrastructure which currently handles billions of advertising events every hour
* Implement and maintain streaming and batch pipelines for data ingestion and delivery
* Curate a data warehouse for business and technical stakeholders
* Contribute to GumGum’s proprietary machine learning forecasting systems
* Develop scripts and APIs that serve internal and external reporting needs 
* Investigate and test the capabilities of emerging data technologies
* Collaborate regularly with cross-functional teams

# Minimum Qualifications

* Bachelor's degree in Computer Science, Engineering, or a related technical field
* 2+ years of data engineering or software engineering experience 
* 2+ years building data applications in Scala, Java, and Python 
* Proficient with distributed data processing with Apache Spark 
* Experience with SQL and modern data warehouse platforms - Snowflake, Redshift, Big Query, or Synapse
* Experience with workflow management platforms - Airflow, AWS Data Pipeline, Luigi, or Prefect
* Experience designing data models, warehouses, and ETL pipelines
* Strong communication skills to effectively collaborate with engineers, project managers, and business stakeholders
* Track record of solving difficult data problems with a wide toolset 
* Enthusiasm for exploring and testing new technologies
* Creates thoughtful code that is purposefully designed and easily understood
* Critical thinker, able to break down complex problems and work with ambiguity

# Benefits & Perks

* Competitive health, vision and dental benefits
* Healthcare including 100% coverage for Employee + Spouse/family 
* Dependent care FSA
* Employer-matched 401(k) plan
* Stock incentive program (role dependent)
* Paid parental leave
* Goodly - student loan contribution plan
* WFH monthly stipend 
* Anniversary recognition and awards
* Fitness reimbursement and wellness workshops
* Discounted Pet Health Program
* Flexible time off and work schedule
* Dog-friendly HQ office - we love our fur babies! Check us out on Instagram @dogsofgumgum
* Incredible work/life balance with a collaborative and friendly work space
* A team that has transitioned to remote work impressively, and remains highly collaborative and connected
* GumGum Gives Back volunteering opportunities
* Team building lunches and events, and monthly company celebrations
* Virtual monthly team bonding events

# Career & Development Focus

* Ongoing learning and development for education opportunities such as webinars, books, classes, relevant conferences and events
* Opportunities to pursue business related side projects and yearly Hackathon
* Highly encouraged to contribute to open source software, including our own open source software
* Environment of learning from peers, including meetups, presentations and blog posts
* Opportunity to work with cutting edge technology
* Life Skills sessions - geared towards the whole life/health/person 
* Leadership Bites Dinner Series - connecting current and future GumGum leaders over great food and meaningful conversation 
* Stride - our company council committee to share learnings, give updates and provide feedback to the company regarding initiatives and discussions around diversity, inclusion and equity.

# Return to office: Our big vision for our futuristic “Farmhouses” in 2022!

* Offices will now be referred to as the “GumGum Farmhouse” -- a futuristic space centered around a bigger purpose: flexibility, sustainability, community, and growth!
* GumGum will continue to be a flexible/remote-friendly environment, however, offices will re-open in 2022 for any employees who choose to come in to collaborate, participate in an event, host your clients, contribute to our growing of plants/herbs/vegetables/etc.

# Our Values...

* Thoughtful: We listen to understand different perspectives, show everyone respect, and relentlessly seek solutions for our clients (internal and external)
* Agility: We are quick, nimble, and change direction gracefully, while maintaining control.
* Grit: We bring energy and perseverance to everything we do.

# Our Culture...

GumGum recently earned LA’s Best Places to Work Award in 2021 by BuiltInLA, and Inc. Magazine’s Best Places to Work in 2020 and it’s no surprise why. With company-sponsored social hours, annual holiday celebrations and on-site gatherings, GumGummers enjoy a fun, creative and collaborative workplace. We provide ourselves on our strong track record of giving employees the autonomy and support they need to succeed. 

Airflow

Java

Snowflake

Data Engineer

# Role Summary & Primary Responsibilities

The Senior Data Scientist is a full time remote role that will support the technical development and implementation of GridMatrix’s core products, including its customer facing dashboard and adaptive signal timing algorithms. The Senior Data Scientist is expected to use techniques from machine vision and perception to extract data from live video footage, find ways to use this data to optimize/tune object detection and classification algorithms, and to then use the results of those processes with applied statistical methods to calculate metrics of vehicular and pedestrian traffic flow. It would also be beneficial for the Senior Data Scientist to have experience with cloud hosting services for the streaming, processing, and storage of both unstructured and structured data.

# Basic Skill Qualifications

* 4+ YOE with object detection, classification, applied statistical methods for real world problem solving
* Previous experience with machine vision based projects
* Previous experience with data visualization for enterprise audiences
* Previous experience with cloud based development
* BA/BS from an accredited university
* MS or equivalent experience in relevant field such data science, statistics, physics, or engineering
* Machine Learning, Deep Learning, Signal processing
* Programming Languages - Python, R, SQL, C
* Fluency is both unsupervised & supervised learning models
* Reporting Structure & Internal/External Collaboration

The Senior Data Scientist will report to GridMatrix’s VP of Engineering, and work closely with its CTO, CEO, and other members of GridMatrix’s technical organization, including other Data Science and DevOps engineering staff. In addition, the Senior Data Scientist will work with GridMatrix’s technical advisory staff, which currently includes an advisor for Autonomous Vehicle Technology, an advisor for Machine Vision, and an advisor for Machine Learning & Data Science.

The Senior Data Scientist will also work closely with GridMatrix’s external engineering development teams.

# Research & Development

The Senior Data Scientist will participate in GridMatrix’s research and development activities. These will include the development of the company’s core intellectual property, as well as serving as a support for GridMatrix’s Principal Investigator as well as an independent contributor on successful grant opportunities. As a result of these activities, GridMatrix may seek to disclose resulting intellectual property in either professional publications or patent applications.

# Grant Writing

The Senior Data Scientist will contribute to grant proposal writing efforts. These contributions will include the development of grant proposal content, preliminary data gathering, and leveraging internal and external resources as necessary to submit timely and comprehensive proposals.

# External RFPs and RFQs

From time-to-time, GridMatrix may respond to requests for proposals (RFPs) and request for quotes (RFQs) issued by cities, states, or other municipalities. These RFPs and RFQs may include the opportunity for GridMatrix to supply the issuer with goods and services. Portions of these RFPs and RFQs may require technical descriptions of these goods and services. In these cases, the Senior Data Scientist may contribute to the development of original content to support GridMatrix’s timely and comprehensive response to the RFP.

# Conferences & Travel

In this role, the Senior Data Scientist may be required to travel to support GridMatrix’s business needs. These needs may include both domestic and international travel to represent the company at industry conferences and demonstrations of its technology to prospective customers and other stakeholders.

# Technical Requirement Development

The Senior Data Scientist will be expected to contribute to the production of technical requirements documents (TRDs). These TRDs will be used both to define product development and also as components of GridMatrix’s RFPs to candidate suppliers for goods and services. Not only will these TRDs allow GridMatrix to competitively source it’s purchases, they will serve as product development artifacts that can be used for future iteration and development.

# Product Development Timelines

The Senior Data Scientist will be expected to contribute to product development timelines, including highlighting expected delivery dates and technical risks.

# Equity Compensation

The Senior Data Scientist will be eligible to receive performance based equity compensation.

# Salary & Other Compensation

GridMatrix offers competitive compensation, including salary, medical, dental, vision, life insurance, company supplied computer, annual WeWork subscription, as well as a 401K plan.

“The front page of the internet," Reddit brings over 430 million people together each month through their common interests, inviting them to share, vote, comment, and create across thousands of communities. 

We are looking for a manager to be a part of the Ads Data Science team and lead a small group of machine learning data scientists. You will work closely with engineering managers, engineers and product owners from our Ads team to optimize ads delivery and auction systems. In addition to strong ML skills, this person has a solid business acumen and understands what is important to advertisers. 

# Responsibilities:

* You will start off with leading a team of 4-5 ML data scientists with the expectation of scaling the team to 10+ in 2022.
* You will build optimization algorithms that improve ad yields and efficiencies. Our optimization models were hugely successful in the last 12 months and as a result we are increasing our investment in this area.
* Along with building ML models, you will be a key strategic player in defining the roadmap for the ML efforts for the entire Ads Org. Your roadmap will not only achieve immediate business goals, but also dictate our long term strategy for optimization and marketplace efforts.
* Manage and nurture a team of talented Data Scientists and have a keen interest in shaping their careers.
* Some of the models we developed over the last year are CPC (cost per click), CPI (cost per install), Generalized pCVR (probability of conversion rate), ALO (Ad Level Optimization) and User Lookalikes. You will not only work on improving existing optimization models, but also develop new models from scratch for a variety of upcoming product launches.
* Build and improve Machine Learning algorithms that match ads to the most relevant users. Some of the algorithms/techniques used are Logistic Regression, Gradient Boosted Decision Trees, Random Forests, Hyperparameter tuning, Thompson Sampling, Monte Carlo simulations, Semantic Embedding models etc.
* Design and build a platform for rapid model iteration and feature engineering at scale. Some of our optimization models are iterated on and deployed in production every 2 weeks!
* Be involved in all phases of modeling such as ideation, offline modeling, online implementation, experimentation, deploy and post-launch monitoring/measurements.
* This role will have a lot of overlap with other Machine Learning Engineer roles, but will differ in a couple of areas. First is that you will work mainly on offline modeling and rely on engineers to productionize your models. Secondly, you will have a keen interest in the collection and quality of underlying data, along with working on ETLs and data aggregations.
* Serve as a thought-partner for product managers, engineering managers and leadership in influencing the monetization roadmap and strategy for Reddit by identifying opportunities through deep-dive analyses and/or modeling.
* Work closely with our sales and marketing partners to ensure that ads are set up in a way that amplifies the benefits of your optimization models.

# What We Can Expect From You:

* Master’s or PhD degree in a quantitative major (e.g., mathematics, statistics, economics, finance, computer science). 
* Proficiency in Machine Learning
* 2 years of Prior experience working as a Tech Lead or a Data Science Manager. Willing to consider candidates without prior management experience.
* 5+ years of experience in quantitative/modeling roles, preferably for a consumer-facing service/app
* Proficiency with statistical analysis and programming languages (Python, SQL)
* Understanding of experimentation and causal inference analyses
* Experience building Ads optimization models is preferred but not required

Data Science Manager

Stack Influence is an influencer marketing platform on a mission to connect brands with everyday people. We are a venture-backed startup featured in publications like WIRED, Business Insider, WWD and Quartz, our platform is home to one of the largest micro-influencer communities in the United States.

We're hiring for our first Data Analyst to build on our data-driven approach. This is a high leverage position. From discovery analyses to AB testing, you will be responsible for all things data in our company. You will directly partner with our 3 co-founders to improve our product and grow our marketplace business. This is a remote, full-time contractor position. Non-US citizens are encouraged to apply.

# Our Data Stack:

Spreadsheets, PostgreSQL, MongoDB, Metabase, Mixpanel, Google Analytics, Instagram, Sendgrid, Woodpecker, Performance Marketing (Google, Facebook ads), Jungle Scout, Lucky Orange, Hubspot

# Qualifications:

* 2+ years of technical skills related to data and analytics
* A previous role in analytics, growth, product management or operations departments of a software or software-enabled company
* Highly skilled at relational databases and writing complex SQL queries
* Highly skilled at Excel
* Ability to use data and metrics to back up assumptions, make recommendations, and drive actions
* Self-motivated, independent, and proactive
* Outstanding communication and presentation abilities, written and verbal

# Nice to have:

* Experience with BI Tools (Tableau,Looker,Power BI, Metabase,etc)
* Experience with Paid advertising (such as Google, Bing, Facebook, etc)
* Experience with conversion rate optimization (CRO) using A/B/Multivariate tools (such as Lucky Orange, Optimizely, Google Optimize, Hotjar, etc)
* Experience with CRMs (such as Hubspot, SalesForce, Zoho, etc)
* Javascript or Python programming skills

# Expectations and Responsibilities:

* Measure, analyze and develop a deep understanding of our product, data and customer lifecycle including acquisition, engagement and retention.
* Collaborate with our product, sales, marketing and operations teams to solve problems and identify trends and opportunities.
* Query and update data, build dashboards, and keep a watchful eye on the overall health of our marketplace
* Develop interesting insights about our marketplace and industry to drive data-driven content marketing
* Combine and leverage internal and external data from multiple sources, including web, application, email, and down-funnel
* Develop and own strategies to coordinate, execute, and analyze A/B and multivariate tests to improve operations and marketing conversion rates
* Initiate and drive projects to completion with minimal guidance
* Translate and communicate results to stakeholders, adjusting the level of technical detail as needed

Experian is the world’s leading global information services company, unlocking the power of data to create more opportunities for consumers, businesses and society. We are thrilled to share that FORTUNE has named Experian one of the 100 Best Companies to work for. In addition, for the last five years we’ve been named in the 100 “World’s Most Innovative Companies” by Forbes Magazine.

Experian Consumer Services provides credit education and identity protection solutions to consumers and helps businesses manage the impact of a data breach.  This group is divided into two divisions; the Direct-to-Consumer team provides these solutions directly to consumers while the Partner Solutions team empowers companies to provide these solutions to their consumers. 

Whether it is directly through our websites or via one of our partners, over consumers now have access to valuable credit education and identity protection solutions that help them protect their personal information.  We are also the leader in Global Data Breach services, helping businesses for over 15 years.

Job Description
For more than 125 years, Experian has unlocked the power of data to create opportunities for consumers and businesses. Today, we have an opportunity for a smart, motivated, talented Data Reporter to help grow our content marketing team.

Working with other writers and our in-house experts, you'll leverage Experian’s vast trove of data to tell stories and create visualizations in service of our team mission statement: To be consumers’ trusted guide for timely, relevant, and unbiased information about the issues that matter most to their financial health.

# As a Data Reporter, you will:

* Wrangle data from internal and external sources, analyze it, and prep for publication
* Identify topics and opportunities based on your data research and analysis that are relevant and aligned with overall company initiatives
* Plan and produce short and long-form articles
* Occasionally develop basic data visualizations to accompany written content
* Assist fellow reporters with data brainstorming, fact-checking and analysis
* Review data-driven articles written by other members of the team
* Teach and encourage best practices for handling and analyzing data
* Collaborate with various internal and external stakeholders

# Qualifications

The Data Reporter will be expected to conceptualize, outline, and draft articles on a broad spectrum of credit and personal finance related topics. The Data Reporter will be comfortable collaborating with our staff of writers, editors, compliance, and SEO specialists.

* A combination of journalistic, quantitative, and artistic skills is ideal
* At least 3+ years of writing experience, preferably for online publications in economics or a quantitative field
* Experience working on data projects in a newsroom -- or experience doing statistical or data-scientific analysis, either in academia or in another research setting
* Knowledge and interest in personal finance topics such as credit scores, credit cards, and loans as well as identity protection and cybersecurity
* Ability to handle multiple assignments within tight deadlines demonstrating strong editorial judgement
* A foundational understanding of data analysis tools, such as Microsoft Excel and Tableau. SQL and statistical software (R or Python) experience nice to have, but not required.
* Ability to share published writing samples that show previous projects and experience working on data storytelling

# Perks

* Competitive pay and comprehensive benefits package, with annual bonus target of 10%
* Three weeks of vacation to start, five sick days and two volunteer days (plus eleven paid holidays)
* Flexible work schedule and relaxed dress code
* This position will start out remote and can be 100% remote long term.

Data Reporter

ClientSolv Technologies is an IT solution firm with over a decade of experience serving Fortune 1000 companies, public sector and small to medium sized companies. ClientSolv Technologies is a woman-owned and operated company that is certified as a WMBE, 8a firm by the Federal government's Small Business Administration.

# Job Description

We are seeking a Data Analytics Manager for a direct hire/permanent role supporting an outcome-focused workflow optimization platform.  This role will be fully remote and will offer a salary and a comprehensive benefit package.  

# In this role, you will be responsible for:  

* Owning  the deliverable of process data strategy – a key value-add to clients.
* Create visualizations that convey insights that are outcome-based and actionable.
* Work closely with our engineering team to identify the type and structure of the data you need.
* Work closely with our UX team to identify where and how data should be represented throughout the application.
* Build a small team to help analyze the data and build visualizations that get integrated throughout the products.

# Qualifications

* 8+ years of business intelligence, data analytics, reporting, analytics and/or data modeling
* 5+ years develop strategies and approaches to analyzing large data sources
* Solid understand of how businesses should leverage appropriate KPIs to drive performance optimization
* Proactively provide recommendations on new data sources and metrics for future analysis
* Self-motivated and driven to accomplish company goals
* Comfortable multitasking in a fast paced, matrixed environment
* Experience building and growing an analytics team with strong functional expertise and influence while fostering a supportive learning environment
* Advanced Excel skills (macros, power query, pivots, etc.)
* A proven track record of using quantitative analysis to impact key business or product decisions

# Nice to have

* Successful track record working with remote team members
* Background in financial services technology
* MBA

# Additional Information

This direct hire/permanent role will be a remote role and will offer a salary plus benefits, such as Medical/Dental/Vision premiums covered at 100% for the employee and 50% for additional members of your family and unlimited paid time off.

Data Analytics Manager

# What We Do

Swimply is an online marketplace that allows owners of underutilized swimming pools to monetize their pools’ downtime by sharing them locally by the hour. Think Airbnb, but for swimming pools.

# How We Started

Swimply was founded by Bunim Laskin in 2019. As the eldest of 12 siblings and lacking resources for his family to escape the heat, Bunim thought of offering his neighbor financial assistance in exchange for some pool time. Before long, others in the community cut similar deals with her and she was turning a handsome profit. The rest is history.

# Our Mission

Our mission is to extend the sharing economy beyond the functional to the experiential. We will do this by building an authentic community-driven marketplace that democratizes access and enhances quality of life for the average family. Our current focus is on swimming pools but we will incrementally expand the platform to include all kinds of underutilized spaces (so long as they’re awesome).

We believe that ownership can be smarter, better, and more meaningful. Helping owners earn an income from their underutilized assets reduces the financial anxiety of ownership and simultaneously fosters community.

We envision a world in which anyone, anywhere, can access anything with the tap of a button - from their very own tennis court or swimming pool to home gyms and even music studios - regardless of their economic status.

# Where We Are Now

Swimply experienced incredible rapid growth (4,000% YoY), largely driven by customer love, word-of-mouth and robust media coverage. In just the last six months, over 3,000 pools have been listed in the US, over 45,000 transactions have been completed (up from 1,000 transactions in 2019), and over 200,000 swimmers have enjoyed a stranger's pool.

# Analytics Engineer job description

Swimply is looking for experienced analytics engineers to join our distributed engineering team. We’re looking for engineers who sit at the intersection of product, engineering, marketing, and operations.

# What you’ll do professionally:

* Build complex web and mobile applications that deliver joy and delight to millions of users.
* Partner with product engineers to instrument our end-to-end user journey and backend services.
* Develop and monitor data pipelines, and build out new integrations with external data sources.
* Collaborate with Product and Operations stakeholders to build self-serve tools for data exploration.
* Work closely with product, design, and engineering to understand product requirements, evaluate tradeoffs, and ship solutions that deliver value to customers.
* Build data solutions using our existing analytics stack of: SQL, Python, Segment, Stitch Data, DBT, Redshift, Mode Analytics, Amplitude
* Help make our team better and continue to professionally grow through contributing to code reviews, documentation and promoting best practices.

# Requirements

## What skills and experience you’ll bring:

* You have 5+ years of professional software engineering experience.
* Proficiency with schema design and data modeling.
* Experience with at least one of the modern datawarehouses (Redshift, BigQuery, or Snowflake)
* Experience with modern workflow management tools (DBT or Airflow).
* Strong experience communicating with stakeholders to manage and define business requirements.
* A history of independently leading cross-functional projects and prioritizing work based on business impact.
* Experience breaking down complex problems, documenting and building solutions, and sequencing work to ship minimum viable solutions and make iterative improvements.

## It’s even better if you:

* Have expert level experience of Python, Jupyter Notebooks, and the data science ecosystem surrounding Python.
* Have demonstrated experience of using ML to solve critical business problems.

# Benefits

Our company is fully remote, and we're assembling a team of extraordinary talent to build our community-driven marketplace. We aim to deliver meaningful income to hosts and create more happiness in the world for local communities.

# It's an excellent time to join because:

* You’ll be getting in on the ground floor to make a key impact at a consumer marketplace startup that is experiencing rocket ship growth
* You’ll play a critical role in building Swimply from the ground up, including influencing our company culture, core values, and who we end up hiring
* You’ll significantly influence the business and product roadmap as we scale
* You’ll experience massive growth opportunities as the company grows and matures
* You’ll be part of a team that is mission-driven, works hard, plays hard (generally in and around swimming pools), and is in service to our community of hosts and guests
* You’ll be working directly with the founders and an executive team that has startup experience and scaled billion dollar companies

Redshift

Analytics Engineer

Stilt (YC W16) is building a bank focused on 45 million immigrants in the US. Immigrants are traditionally shut out of the financial system because they lack a financial identity. We are building technology to democratize access to financial services.

Improving access to financial services for everyone, especially for the underserved and immigrants has never been more important. They contribute $1.6T to the economy, have built many $100B+ companies, and generated millions of jobs. Still, immigrants don't get the services they deserve. We are building technology to help immigrants from day 1 of their arrival. Since launch, we have helped hundreds of thousands of immigrants from 160+ countries. We are growing fast and now at an inflection point in our journey to help millions of immigrants.

We are based in San Francisco (open to remote), founded by an immigrant team with expertise in finance, technology, and machine learning. 70% of the team is immigrants and from underrepresented backgrounds. We are working hard to make financial services simple by using non-traditional data, building a modern scoring and decision engine, and improving operational efficiency.

It is a challenging and fulfilling opportunity for someone looking to make a difference in the lives of immigrants across the world. As we rewrite the approach to banking, we are looking for a Data Scientist who is experienced, knowledgeable, and believes in making this happen with us.

# Responsibilities:

* Continuously explore new alternative data sources to add incremental predictiveness in the models though orthogonal signals/features.
* Build end to end machine learning models, from design, learning, evaluation, validation & monitoring.
* Create, expand, explore, rank & maintain logs of innovative internal feature sets for credit, pricing & fraud.
* Expand the performance data using organic & synthetic methods wherever possible.
* Develop automation capabilities & advanced dashboards required for faster processing and monitoring.
* Own end to end model implementation, model iteration, model versioning, for production and sandbox environment
* Collaborate with the engineering and product teams to implement, ship, test and monitor the risk models.

# Requirements

* Quantitative Background: Bachelor’s (preferably Master’s) degree in Computer Science, Statistics, Mathematics, Financial Engineering etc.
* Programming Ability: Expert knowledge of Python or R, & SQL. Experience using cloud technologies (AWS, GCP) and distributed data/computing tools.
* Proficiency in writing and maintaining production level code. You will ship what you write.
* ML Delivery Experience: Built key ML system/s from large raw data to production & scaled, monitored & improved it over 1-3 years. Right candidate with more experience (3-6 years) can also be considered for senior position.
* Statistical Mindset: Understanding of the right tools for a given data analysis. Focussed on model selection, interpretability, biases, explainability & monitoring.
* Data Friendly: Revel in data cleaning, feature engineering & data generation.
* Clear Communicator: Able to collaborate across functions and explain difficult concepts in written, visual & verbal.
* Self Organized: Belief in data & code review/versioning, reproducible work with clear/concise documentation.
* Self Starter: Willing to quickly learn new things, test & share with the team.

# Benefits

* The opportunity to collaborate with a team of creative, fun, and driven colleagues on products that have an immediate and significant impact on people's lives
* Competitive Compensation
* Comprehensive medical, dental, and vision coverage
* 401(k)

Our work is driven by our team’s desire to be pioneers.

In 2009, we created Robots & Pencils with the then-contrarian view that mobile would be more transformative than the Internet. Turns out we were right.

Today, our thinking is rooted in the belief that, in the age of unprecedented technology acceleration, maintaining a competitive advantage requires new strategies and a focus on innovation.

Our approach has been to create a company designed to follow the talent, allowing us to amass an unfair share of hyper-skilled people who call Robots & Pencils home. A team of people who not only develop innovative solutions to transform businesses, but also create products that have been previously inconceivable.

# What are our core values?

* Strong Work Ethic
* Top Drawer
* Always Learning
* Heart
* Discipline
* Efficacy

# Robots & Pencils offers:

* We care about Talent. Hard stop.
* We do this in many ways, by offering:
* An attractive compensation package
* Excellent benefits Medical, Dental, Vision etc. (this routinely gets reviewed each year for enhancements)
* Paid stat/federal holidays, vacation and sick days
* Flexible paid stat/federal holidays (because we care about what you care about and want to celebrate our culturally diverse team!)
* R&P branded swag
* Parental & adoption leave top up / salary continuance

But we also know a job isn’t just defined by the above, so we pride ourselves in being a company that also offers: 

* A FollowTheTalent mentality -- meaning you can be located anywhere in North America and work remotely. (We have 10+ years of experience building virtual working environments WeKnowWhatWereDoing)
* A dynamic, fast-paced environment where we’re alwayslearning.
* And lastly, a team that cares about you and wants to drive the talent experience. How do we do this? Over the years we’ve hosted comedian shows, had holiday parties, happy hours, brunches with the CEO, surprise coffee runs for the team, health & wellness events and prizes, trivia nights, surprise dinners for R&P team members and their family and so much more! (And yes, we’ve prioritized a way to do these things in a virtual setting and not just in person - thank you Zoom!)

# Who you are:

* You do remarkable things and solve tough problems where many others have failed before. We are looking for people who are driven to be pioneers. If this is you -- we want to hear from you!
* You are someone who believes that insights can be mined from data and utilized to predict a user’s behavior. You love to experiment and have a strong desire to learn. You have strong opinions but that are weakly held; you are humble yet confident.
* You know the difference between Regression and Clustering, when to use Supervised vs Unsupervised Learning, and can debate the merits of dimensionality reduction using Principal component analysis. You’re not bound to any one framework, library, or tool suite and feel like you could pick up any tool or language that’s right for the job. You’re also diligent about meeting allocated budgets and can work within time constraints, but you will never sacrifice quality. 
* On top of this, you are independent, but you’re also comfortable working in cross-functional teams. You have excellent communications skills and can share insights and expectations with stakeholders, clients, team members and various levels of management.

# Job Description

* Analyze client data as well as our own data, delivering first-class statistical analyses and predictive models
* Create large labeled datasets on which to carry out various forms of supervised/unsupervised learning and model testing
* Interact with data engineers and software engineers to make algorithms scalable and production-ready
* Support sales and project managers with technical insights, leading to the creation of budgets and schedules for projects
* Share knowledge and insights with team members through lunch n’ learn programs or mentorship

# Qualifications

* Experience in software development or MS in computer science or a field related to data science
* Experience with open source statistical analysis software package such as R, Python (Pandas, NumPy, SciPy)
* Experience with big data and query tools (SQL, Spark, Hive, Hadoop)
* Experience with Cloud Technologies/Services like Azure, AWS and Google Cloud
* Experience with ML libraries, frameworks, or APIs such as TensorFlow, Caffe, Torch, Microsoft Cognitive Toolkit, SageMaker, Watson
* Familiarity with software development practices including object oriented and functional programming, testing, and continuous deployment pipelines
* Strong statistical or mathematical background, with exposure to deep/machine learning, social network analysis, or recommender systems
* Proven work experience in software development
* Experience with testing and performance optimization
* Excellent communications skills with the ability to share insights and expectations with clients, stakeholders and colleagues, both locally and remotely