CRB is a leading provider of sustainable engineering, architecture, construction and consulting solutions to the global life sciences and food and beverage industries. Our more than 1,600 employees provide best-in-class solutions that drive success and positive change for our clients, our people and our communities. CRB is a privately held company with a rich history of serving clients throughout the world, consistently striving for the highest standard of technical knowledge, creativity and execution.

# Job Description

CRB is looking for an energetic, self-motivated, pro-active, organized, and well-rounded individual that has a good understanding of Microsoft’s data, reporting, and business intelligence tools to assist in delivering on our internal data and business intelligence initiatives. The successful candidate must possess the skills required to successfully execute project tasks, have a strong work ethic, and be a dynamic team player. This person will be expected to execute work on one or more data projects simultaneously as delegated by the Information Director. Project work will include a variety of documentation, data modeling, Power BI and Excel work, reporting efforts, and end-user engagement.

# Responsibilities

* Elicit data related business requirements from stakeholders and develop associated technical specifications
* Develop metrics, KPI’s, Reports, and Dashboards to support company-wide project and management teams.
* Provide advice on the usage, interpretation, and analytic value of business data
* Provide analytical assistance, and knowledge transfer to business users to aid their self-service analysis efforts
* Assist end users in the use of Excel, Power BI, and the consumption of the CRB data model.
* Set and execute professional development goals.
* Travel as required for professional development and project execution.

# Qualifications

* 2+ years’ experience using Microsoft Excel
* 1+ year experience using Power BI Desktop, and advanced Microsoft Excel features including Power Query/Power Pivot
* Proficiency in MS Office Suite
* Extreme attention to detail and accuracy a must
* Excellent verbal/written communication skills required
* Experience with accounting terms and concepts preferred

# Additional Information

All your information will be kept confidential according to EEO guidelines.

CRB is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer and it is our policy to provide equal opportunity to all people without regard to race, color, religion, national origin, ancestry, marital status, veteran status, age, disability, pregnancy, genetic information, citizenship status, sex, sexual orientation, gender identity or any other legally protected category. Employment is contingent on background screening.

CRB does not accept unsolicited resumes from search firms or agencies. Any resume submitted to any employee of CRB without a prior written search agreement will be considered unsolicited and the property of CRB. Please, no phone calls or emails.

CRB offers a complete and competitive benefit package designed to meet individual and family needs.

Analytics

Excel

Data Analyst

# The Company:

WorkStep is the leading software provider of workforce retention and hiring solutions for the supply chain industry. We’re a Series A startup (backed by leading investors) who is disrupting the industry and changing the way companies have traditionally hired and retained their frontline supply chain workers.

Our mission is simple: to make the supply chain a better place to work. How? By helping companies within e-commerce, manufacturing, retail, CPG, transportation, and logistics make better-fit hires and improve their frontline workforce satisfaction and retention.

# The Role:

WorkStep is a data-first company, and putting data to work is an aspect of everything we do. Our growing Data Science team (Analytics, Data Science, and Data Engineering) is a specialized, cross-functional group that collaborates with a variety of departments to drive decisions and provide direction for the company.

As Director of Data Science at WorkStep, you will be instrumental in continuing to build out the Data Science function within the organization and laying the foundations for accelerating the way we bring data and insights to our product and business operations. You will work directly with the CTO to develop a strong bench of talent, model our vast data repositories, and define mechanisms for bringing critical thinking to all corners of our business operations.

We are looking for a creative thinker who can develop and execute workable solutions to complex problems that will have an impact in days, instead of a perfect one that might require weeks. The ideal candidate has the acumen to leverage modern techniques to drive business value, but also the experience to bring rigor, maintainability, and scalability to our data operations.

# Responsibilities:

* Hire, develop, and lead a team of top talent data scientists and engineers
* Lead the team to deliver strong results by researching and building cutting edge, leverageable methodologies and solutions.
* Partner and influence leadership to ensure team priorities and output directly impacts company strategy, direction and growth.
* Own the raw data sources and modeling layers that power Business Intelligence for BizOps and Finance
* Collaborate closely with Product Engineering in a formal Data Review to ensure the accuracy and integrity of any productionalized analytics.
* Ultimately responsible for our data pipelines and warehouse.
* Chief architect for how WorkStep develops, maintains, operationalizes, and integrates modern machine learning models into our various workflows.

# Requirements

* MS/PhD degree in a quantitative field (computer science, applied math, economics, statistics, engineering) or equivalent industry experience
* 3+ years people management experience in a technology setting
* Expert command of SQL and mathematical programming (R, Matlab, Scikit, etc)
* Significant experience with data warehousing (BigQuery, Redshift, Snowflake)
* Significant experience operationalizing modern machine learning techniques
* Experience with Python and common analytical libraries
* Familiarity with ETL and data pipeline mechanisms
* Extreme attention to detail
* Comfortable in a smaller rapidly evolving early stage start-up environment working remotely
* Passion for the WorkStep mission

# Benefits

WorkStep is a fully remote company, meaning our team can work from where it suits them—whether that's East Coast or West Coast, in the mountains, or at the beach. We're a collaborative bunch who are focused on helping our customers succeed and deliver results, FAST. But we also know how to have fun and enjoy each other's company. Our benefits include:

* Remote working environment
* Unlimited PTO
* Top-notch technology
* Quarterly team building on-sites (when safe to resume)
* Workspace, wellness, and L&D stipends
* Competitive company-sponsored health, vision, and dental benefits package
* Opportunity to join a passionate, motivated, and fun team at an early stage to help shape and execute on our mission

If you’re a collaborator who likes a challenge, who doesn’t mind rolling up their sleeves and getting stuck in, and wants to join a fast growing company at an early stage, we want to hear from you!

Python

Statistics

MATLAB

Director of Data Science

Since we first opened our doors in 2009, the world of commerce has evolved immensely – and so has Square. After enabling anyone to take a payment and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together. So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, run a busy kitchen, book appointments, engage loyal buyers, and hire and pay staff. And across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow all in one place.

Today, we’re a partner to sellers of all sizes – large, enterprise-scale businesses with complex commerce operations, sellers just starting out, as well as merchants who began selling with Square and have grown larger over time. As our sellers scale, so do our solutions. We all grow together.

There is a massive opportunity in front of us. We’re building a business that is big, meaningful, and lasting. And we are helping sellers around the world do the same.

# Job Description

Block is built by an incredible team that is on a mission to make commerce easy for all types of businesses. As a DS lead for Square Appointments and Square Conversations, you will have an opportunity to drive impact for the millions of small businesses utilizing our platform to start, run and grow their business. Square Appointments helps businesses in the services industry succeed by building everything they need to run their business: scheduling and online booking, a point of sale that tracks customer details, and a secure, fast payments system. The Conversations team builds Square Messages, a messaging platform for merchants to manage conversations with their customers, Messages is also home to Square Assistant -- a virtual assistant to help merchants serve their customers 24/7.

In this role, you will lead a team that leverages a unique set of skills, including, data engineering, analytics, data science, and machine learning to help us grow our products and kick off green field initiatives.

# You will:

* Lead a team, hiring new data scientists, setting goals, collaborating, and working with our partners.
* Have an impact on business and product strategy by leading the DS discipline across three scaling products.
* Provide mentorship to team members through feedback, coaching, and hands-on technical guidance.
* Create data products that bring intelligence into our products.
* Approach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behavior.
* Build, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiatives.

# You Have:

* ​​​2+ years of experience in people management with experience building teams and growing talent
* 7+ years of data science experience or equivalent
* Experience applying statistical and machine-learning techniques to building data products, solving practical product problems such as predicting churn, LTV, cross-selling, and clustering user archetypes.
* Experience working on product initiatives focused on growth, new markets and/or marketplaces
* B.S+ in a quantitative field (mathematics, statistics, or similar STEM field). M.S preferable.

# Additional Information

We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Square is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. 

We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible.

Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

# Perks

We want you to be well and thrive. Our global benefits package includes:

* Healthcare coverage
* Retirement Plans
* Employee Stock Purchase Program
* Wellness perks
* Paid parental leave
* Paid time off
* Learning and Development resources

Machine learning

Management

Data Science Manager

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

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.

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.

Azure

Data Scientist

At Shopify, we build products that help entrepreneurs around the world start and grow their businesses. We’re the world’s fastest growing commerce platform with over 1.7 million merchants in more than 175 different countries, with solutions from point-of-sale and online commerce to financial, shipping logistics and marketing.

Shopify is now permanently remote and working towards a future that is digital by default. 

# Job Description

Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organise and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organisation. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success. 

Our data scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.

This role is to join the APAC Revenue Data team, which is the data science team supporting the APAC Revenue org. Revenue is Shopify’s go-to-market org, which encompasses functions such as marketing, sales, partnerships, merchant success and support. The APAC data science team therefore works with these business stakeholders to get the Shopify product in the hands of merchants in APAC, and ensure that they grow and succeed on the platform. In addition we collaborate with and learn from our data science peers spread across the other regions and crafts within the company.  
  
This role is to be based within Asia-Pacific (APAC) preferably in Singapore, India or Australia.

# Responsibilities:

* ​​​​​​Proactively identify and champion projects that solve complex problems across multiple domains
* Partner closely with product, engineering and other business leaders to influence product and program decisions with data   
* Apply specialised skills and fundamental data science methods (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed) to inform improvements to our business
* Design and implement end-to-end data pipelines: work closely with stakeholders to build instrumentation and define dimensional models, tables or schemas  that support business processes
* Build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products
* Influence leadership to drive more data-informed decisions
* Define and advance best practices within data science and product teams

# Qualifications

* 3+ years of experience as a Data scientist. Domain experience in e-commerce, marketing or SaaS would be a plus.
* Bachelor’s or Master’s degree in Information Technology, Mathematics, Computer Science or equivalent is preferred
* Extensive experience with Python or Pyspark and software engineering fundamentals
* Deep understanding of advanced SQL techniques, dimensional modeling and scaling ETL pipelines
* Experience with applied statistics and quantitative modeling (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed)
* Demonstrated ability to translate analytical insights into clear recommendations and effectively communicate them to technical and non-technical stakeholders; Masterful data storytelling and strategic thinking
* Strong sense of ownership and growth mindset; self-motivated and able to thrive in a remote environment
* Excellent communication skills; proficiency in English is a must

# Additional Information

We understand that applying to a new role takes time and effort, and we thank you for this. If your experience is this close then please do consider applying.

At Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity and inclusion enables us to truly make commerce better for everyone. We strongly encourage applications from Indigenous peoples, racialised people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities.

At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.

SaaS

Asia

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

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 name in the 100 “World’s Most Innovative Companies” by Forbes Magazine.

Experian gathers, analyses and processes data in ways others can't. We help individuals take financial control and access financial services, businesses make smarter decisions, lenders lend more responsibly, and organizations prevent identity fraud and crime. Our 17,800 people in 45 countries believe the possibilities for you, and our world, are growing. We're investing in new technologies, talented people and innovation so we can help create a better tomorrow.

Experian’s Business Information Services (BIS) is a leader in providing data and predictive insights to organizations. By leveraging state-of-the-art technology and superior data compilation techniques, we provide market-leading tools that assist small and midsize businesses in making real-time decisions

# Data Science Analyst Senior

Experian is looking for a Senior Data Science Analyst to join the Commercial Data Sciences Team in Business Information Services (BIS). This is a unique opportunity to get involved in the BIS Data Solutions group from the ground level by developing new internal and external data pipelines while supporting the creation and auditing of attributes/features/models from various data sources. You should be comfortable doing both exploratory evaluations of data in a big data environment and identifying new cutting-edge data sources to drive commercial insights.

# Key responsibilities

* Partner with the technology team to create new data pipelines
* Develop dashboards and reports, leveraging data visualization and other tools
* Evaluate new data sources alone as well as blended with current data sources
* Write efficient scalable code and automated repeatable processes
* Analyze, create, audit, and document attributes/features
* Create Proof-of-Concept (POC) models
* Generate reports following quality control procedures to document analysis and findings
* Work with cross functional teams to resolve internal and external client questions

# Knowledge, Experience & Qualifications

* Bachelor of Science or similar degree in Data Science, Computer Science, Information Management, Engineering, Economics, Statistics, or another related field
* 3+ years of relevant working experience
* Proven problem solving, creativity, and analytical skills
* Excellent organizational, relationship building, and communication skills
* Proficient in desktop applications such as Word, PowerPoint. Advanced Excel skills
* Attention to detail
* Candidates with the following skill sets will be given special considerations:
* Python, SQL, SAS, Hive, UNIX, Tableau

# Preferred Qualifications and Experiences

* Masters or similar degree in Computer Science, Information Management, Applied Mathematics, Statistics, or a related field
* Proven experience in big data environments like AWS, PySpark, HUE, Scala
* Experience with consumer and commercial credit data
* Experience with feature engineering and risk modeling

Senior Data Science 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

Experian Consumer Services is seeking a Data Scientist to help deliver personalized financial solutions to our customers. The ideal candidate must have the ability to extract insights from data and deliver a ML project from beginning to end, including understanding business needs, training/validating ML models, and deploying ML models to applications. In addition, the candidate must be able to thrive in a complex and fast-paced environment.

# About us, but we’ll be brief

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**.

We are seeking a Data Scientist  to join our Experian Consumer Services team!

# What you’ll be doing

* Develop machine learning algorithms with huge data sets to solve challenging business questions.
* Improve performances of existing algorithms.
* Discover new data sources and create new input features for ML models.
* Build end to end data pipeline for ML models
* Communicate key analytical results to stakeholders

# What your background looks like

* Advanced degree in a quantitative field (Machine Learning, Data science, Computer Science, etc.) or equivalent professional experience.
* 2+ years of work experience in a quantitative field such as data science or statistical modeling using cloud computing services such as AWS, Google Cloud Platform, Snowflake, Databricks, etc.. Experience with e-commerce and digital marketing is preferred.
* Experience with statistical modeling techniques such as regression, support vector machines, and neural nets. Experience with natural language processing is a plus. Experience with deep learning algorithms such as convolutional neural networks and recurrent neural networks is a plus.
* Experience with cluster-computing framework, such as Hadoop or Spark.
* Experience with analytical tools and programming languages such Python or R. Working knowledge of SQL.
* Excellent oral and written communication skills

# Perks

* During this pandemic, all Experian employees are working remotely. Once it’s safe to do so, we’ll slowly return to our offices however we are in no rush to do this. The safety of our employees is of utmost importance.
* 15 days of vacation annual accrual, five sick days and two volunteer days (plus eleven paid holidays).
* Competitive pay and comprehensive benefits package, with a bonus target of 10%.
* Flexible work schedule and relaxed dress code.

Spark

Algorithms

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.

SmartRecruiters understands that people are the heart of an organization. That’s why we’ve built our modern Talent Acquisition Platform to help companies hire the best! As the hiring success company, we enjoy a collaborative office environment that’s casual and dog-friendly. We understand that working hard means you should play hard too, that’s why we offer competitive salaries, generous equity, and strong career progression opportunities.

# Job Description

We are looking for a Senior Data Scientist to join our AI team to help build innovative, data-driven recruiting services. Working closely with R&D leaders, product managers, software engineers, and business leaders,  you’ll create classifiers and machine learning models to clean up and categorize raw data. It will be your responsibility to constantly analyse and experiment with prediction quality and find new ways to make sense of data to better support recruiting processes. As a key member of our team you’ll have a unique opportunity to help us achieve our goals by solving complex data science problems, e.g. predicting how well a candidate will fit a job, how a candidate is likely to progress in their career, what skills a candidate needs. If that excites you, then we can’t wait to connect.

# What you’ll deliver: 

* Exploratory analyses and proof of concept models for innovative products.
* Product features that communicate actionable data insights to recruiters and candidates.
* Robust, production-ready machine learning models that serve as the basis for intelligent product features.
* Active monitoring and continuous improvement of production models.
* Contribution to technological, architectural and infrastructural decisions that concern data, e.g. platform solutions, database solutions, data formats.
* Data initiatives to foster a data culture within the team and across the business.
* Support in planning data projects by providing technical guidance and facilitating smooth releases.

# Qualifications

* While we look carefully at the circumstances of each case individually, most candidates who have performed well in similar senior positions have a Masters/PhD degree in Statistics, Applied Mathematics, Computer Science or related field, and at least three years’ work experience.
* Practical experience pre-processing unstructured textual data and developing NLP models, practical experience developing recommendation systems or some other specialisation that you think could break new ground in the recruiting/career management space!
* Proficiency in Python, including go-to data science libraries within the Python tool stack (Numpy, Pandas, Scikit-Learn, Tensorflow). 
* Experience querying both SQL and NoSQL databases.
* Strong command of English language, both written and verbal.

# Nice to have:

* Habit of writing clean, readable, well-organized, and well-tested code
* Experience with graph databases, the semantic web, and/or other modern ways of structuring data and information.
* Experience with distributed processing frameworks such as Apache Spark and AWS EMR.
* Experience deploying data applications within different environments.
* Experience developing data pipelines.

# Additional Information

You will join us during arguably the most interesting stage of our company. This is an opportunity for you to take on full ownership of a key area and bring it to life. We’re an international team with members from Germany, USA, Sweden, Spain, Italy, China, Greece, France, Poland, Iran, Tunisia, Colombia, and South Sudan.

SmartRecruiters has transformed the hiring process by reducing the stress that comes along with attracting, finding, engaging, and hiring new talent. Leading enterprises like IKEA, Visa, Marc Jacobs, and Square have abandoned their outdated Applicant Tracking Systems (ATS), for our all-in-one platform. What once started as a freemium product, has now turned into the world’s fastest growing enterprise solution.

TensorFlow

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

# About us, but we’ll be brief

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 name in the 100 “World’s Most Innovative Companies” by Forbes Magazine.

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 name in the top 100 “World’s Most Innovative Companies” by Forbes Magazine.

# Job Description

Experian’s commercial division of Machine Learning and Advanced Analytics team is looking for a Lead Data Scientist. The candidate must have a deep understanding of ML modeling. He/she should be willing to mentor junior analysts and lead an analytical project from inception to implementation and be able to partner with technology teams to bring models to production

# Responsibilities 

* Apply statistical analysis, machine learning techniques, predictive modeling, and data mining to solve business problems in credit, fraud, identity theft
* Lead and execute complex modeling/machine learning projects and new product development from concept to final delivery including writing code for model deployment
* Work cross functionally with various internal departments and external clients
* Innovate, propose, and design new revenue generating products

# Required

* Masters degree in a related quantitative field (Computer Science, Math, Statistics, Engineering, Physics, Economics)
* 5+ years of relevant working experience in a similar role, preferably involving business information, fraud, or credit data
* Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and statistical/mathematical programming languages (e.g. Python, R, SAS). 
* Experience with Machine learning methods such as Neural Networks, Clustering, SVM, Ensemble models, Random Forest, and Gradient Boosting
* Excellent written, verbal, interpersonal communication, and presentation skills

# Highly Preferred

* PhD degree in a related quantitative field (Computer Science, Math, Statistics, Engineering, Physics, Economics).
* Experience with large data using Spark, Hadoop, or similar technologies
* Experience with Commercial fraud, consumer fraud, identity theft, or cyber security
* Knowledge of Time Series Econometric models
* Experience with cloud-based platforms
* Prior people mentoring or leading experience of fellow Machine Learning and Data Science Analysts

# Additional Information

All your information will be kept confidential according to EEO guidelines.

Lead Data Scientist

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. 