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

Python

Tableau

Senior Data Analyst

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.

Analytics

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.

Statistics

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.

Excel

Agile

Data Analyst

# 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

Machine learning

Senior Data Scientist

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

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

Airflow

Java

Snowflake

Data Engineer

Dentsu is a modern marketing solutions company. Our mission is to help clients navigate, progress and thrive in a world of change. Businesses rely on our integrated network of agencies and specialized practices to champion meaningful progress through creative, media, commerce, data and technology. Part of Dentsu Group, our global network comprises 66,000 diverse people in 143 countries, who are dedicated to teaming for growth and good. Some of our award-winning agencies include 360i, Carat, dentsumcgarrybowen, DEG, dentsuX, iProspect and Merkle.

We are champions for meaningful progress and we strive to be a force for good—for our people, for our clients, for the industry and for our society. We keep our people at the center, creating space for growth, understanding and learning so they can thrive. We embed diversity, in our mindset, in our solutions and in our teams to empower an inclusive, equitable and culturally fluent environment. Building this culture within our teams makes us better collaborators with each other and with our clients, driving better outcomes for all.

# Applicants

“Applicants must be currently authorized to work in the U.S. on a full-time basis. No sponsorship is available for this position.”

Location to work: Must live in the USA - East Coast or Central Time Zone, only.

# Job Description: 

The Global Business Transformation & Product Rollout team for the Americas is crucial to realizing our product vision by building upon dentsu's successful and innovative technology solutions. Being a key member of this team, the Product Business Analyst will manage a number of workstreams, onboarding our clients to our products, analyzing data on the central data platform across the region, identifying trends and insights, understanding business pain points, consulting on solutions, building documentation, and supporting product development in the innovation of media advertising tools and data products across the Media Service Line in the Americas. They will review, analyze, manage, & recommend course of action across the engagements and initiatives they are leading from creation to completion. 

You need an enthusiastic, product, and client experience mindset coupled with an interest in supporting change across a vast media, data, and agency ad operations landscape in a fast-paced, energetic work environment. You will need to be both predictive and responsive to the needs and demands of our clients to ensure that exceptional experience is delivered. Additionally, you must be strategic, collaborative, and focused on ongoing improvements to drive adoption and value through these transformative new solutions. 

* Support multiple functions related to enabling data ingestion, transformation, and use 
* Perform business problem discovery and supply validation of business needs and value alongside product owners with clients to ensure a smooth migration to the new platform 
* Manage client expectations, educate them regarding the system, and guide them into a solution that substantially meets their needs, while hewing to products' functionality 
* Define and document customer business functions and product congruence. Consult with all levels to discern and document business needs and objectives, current operational procedures, problems, input and output requirements, and levels of systems access. 
* Act as a liaison amongst end-users, project managers, sponsors, developers, and product managers in the analysis, design, configuration, testing, acceptance, adoptions, and maintenance of our software. 
* Coordinate data imports and exports and create lists to support business intelligence and reporting efforts 
* Conduct ad-hoc cross-match/data join requests and reporting 
* Convert data between multiple file formats to match client requirements using tools like Excel, Notepad++, and others 
* Collect and analyze client data from a variety of sources, create summaries and reports of requested data, and perform quality assurance checks on data pulled to ensure correct and complete data sets 
* Prepare reports, recommendations, and bring solutions to the table to enhance the client experience, add efficiency, or break through barriers. Tell stories with data. 
* Engage with product, client agency teams and engineers to support both media, workflow, and data products 
* Support analytical standards across the network and ensure we are in compliance across countries and regions 
* Produce cutting edge insight to drive the offering to clients 
* Train and inspire fellow team members to deliver great results 
* Positively contribute ideas and feedback to help the team grow 

# Qualifications:

* You must be passionate about quality customer/client experience and have an empathetic, analytical, and modern product practice mindset 
* General awareness or experience in advertising or media operations & data 
* Extensive understanding of media data and experience helping clients to measure and assess their paid media activity 
* Significant experience in the product development lifecycle and commitment to test, build, learn, iterate approaches 
* Proven track record of providing valuable insight from data 
* Ability to inspire great results from team members and promote innovative work 
* Understanding of Ad Serving Technologies beneficial 
* Ability to work autonomously and take initiative 
* Must be adaptable and flexible to ensure that issues get resolved within the required timeframes 
* Be able to become a product expert and master the functionality of our media solutions platform 
* Can write technical documents including specifications, use cases, and test scripts 
* Expert in using the Microsoft Office Suite including Visio, Excel, Word, PowerPoint 
* SQL experience would be helpful 

# Minimum Qualifications: 

* 3-5 years of related work experience 
* 2+ years of media ops or data experience, particularly experience working in the media industry 
* Requirements analysis, business value assessment, organization, and communication experience 
* Working knowledge of R and Python helpful 
* Experience working with JIRA and Confluence 
* Must have excellent written and verbal communication skills 

# Benefits Include: 

* Comprehensive healthcare plans 
* FTO and family leave 
* 401k 

Data Business Analyst

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

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

Data Science Manager

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

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

Data Reporter

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

Data Analytics Manager

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

Redshift

Analytics Engineer

YouGov is an international research and data analytics group.

Our mission is to supply a continuous stream of accurate data and insight into what the world thinks, so that companies, governments and institutions can better serve the people and communities that sustain them. 

We have the best data and the best tools. We continuously challenge conventional approaches to research, and we disrupt our industry to ensure that our clients always get the best solutions.

We are driven by a set of shared values. We are fast, fearless and innovative. We work diligently to get it right. We are guided by accuracy, ethics and proven methodologies. We trust each other and bring these values into everything that we do. 

Each day, our highly engaged proprietary global panel of over 8 million people provides us with thousands of data points on consumer opinions, attitudes and behaviour. We combine this continuous stream of data with our research expertise to provide insights that enable intelligent decision-making and informed conversations.

With operations in the UK, North America, Mainland Europe, the Nordics, the Middle East and Asia Pacific, YouGov has one of the world’s largest research networks.

# What will I be delivering?

The Data Analyst reports to the Global Head of Commercial Finance and is responsible for supporting the Commercial and Sales Operations team. This role is focused on providing data analytics and reports using various data analytics tools to help assess performance and influence strategic sales direction.

* Assist with monitoring financial activity including budgets,  forecasting/projections, and month/year-end process management. Identifies problems or trends and evaluates for solutions.
* Create and manage dashboards and reports in Power Bi and Salesforce.com including writing complex SQL queries
* Proactively investigate and uncover interesting data observations
* Support the sales team with analyzing customer data and providing recommendations
* Help implement and manage processes and tool updates to support overall sales efficiency and effectiveness
* Be proactive in performing deep-dive analysis across company’s sales funnels to identify growth opportunities and deliver these to our teams for collaborative success
* Reconciles financial data from multiple sources
* Support the Strategic Finance Analyst with any adhoc projects

# What do I need to bring with me?

* 1-2 years of experience in data analysis
* Programming experience and beginning to medium level familiarity with SAS/SQL
* Experience in Python and/or R preferred
* Strong level of familiarity with Excel and other Microsoft products
* Proficiency using data at least one of the following visualization platforms: Tableau, PowerBI

At Ginger, we believe that everyone deserves access to incredible mental healthcare. Our on-demand system brings together behavioral health coaches, therapists, and psychiatrists, who work as a team to deliver personalized care, right through your smartphone. The Ginger app provides members with access to the support they need within seconds, 24/7, 365 days a year. Millions of people have access to Ginger through leading employers, health plans, and our network of partners.

Ginger has been recognized by The World Economic Forum as a Technology Pioneer and by Fast Company as one of the Most Innovative Companies in Healthcare. 

Ginger is a dynamic and fast growing startup with a forward-looking infrastructure and engineering systems landscape. Ginger operates its infrastructure in the top-class cloud IaaS and PaaS services and utilizes the best of the breed SaaS to power its business. There are many unique challenges and opportunities that are new to the industry and require creative thinking in order to balance the desire to continue to move fast and be nimble, and yet provide first-class privacy to the member's data and build unwavering trust with the members, customers and partners.

# About the role

We are looking for an experienced analyst that can immediately contribute to our product and is passionate about helping people be their best selves. You will be working closely with our data science, product, care, and customer success teams in particular. Key responsibilities will include building data models that provide relevant and intuitive analytics to both internal and external stakeholders.

# Responsibilities

* Focus on what we can do with our AI engine outputs / feature data (both to stakeholders in Looker as well as product) and what features we should consider building in ML moving forwards.
* Work with organizations in Ginger to understand analytical needs, consult with your technical knowledge, build data models, and present analysis insights. Examples include:
* Working with coaching and clinical functions to address care-related quality assurance, measuring treatment effectiveness, assessing operational efficiency, forecasting both supply and demand.
* Teaming with product functions to better understand product engagement, feature use patterns, etc.
* Partner with machine learning engineers to validate and evaluate machine learning model outputs in both development and production environments, providing quantitative recommendations to stakeholders based on the evaluation.
* Realize Ginger’s data lake potential by building and prototyping analysis tooling (e.g. Looker connect with Python) that unlocks new classes or insights from varied data sources.
* Develop expertise on mental healthcare data sets and lead their modeling to enable insights.
* Design experiments and determine appropriate statistical approaches to answer specific data science, product, clinical care or business questions.
* Foster a culture of broad access to data and autonomy in obtaining answers by implementing dashboards and other tools that helps your data customers extract, analyze, and visualize data easier and faster.
* Use appropriate tools (e.g. Python, R) to analyze and visualize data.
* Maintain and add to existing analytics infrastructure (Looker).

# Applicable Skills

* MS with 3+ years of experience (or BS with 5+ years of experience) in statistics, data science or appropriate quantitative fields.
* Strongly prefer someone with industry experience working with machine learning and data engineering teams, product teams, consumer marketing, or customer facing teams.
* Experience preparing, modeling, and transforming business data to better understand the needs and performance of the company.
* Experience with building visualizations, trend analysis, forecasts, statistical testing, and data-storytelling.
* Experience in analyzing data statistically using Python (preferred), R, Julia or Scala.
* Experience in querying large and complex SQL databases and doing ETL across systems and databases (Plus: Redshift, Spark/Hadoop, AWS).
* Development experience in business intelligence, data warehouses, and related technologies (Plus: Looker).
* Strong communication skills and business acumen - translate key metrics into the language of stakeholders , and contextualize results within the data customer’s domain.

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

Data Scientist

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

# Company Description

CoEnterprise is an award-winning B2B software and professional services company headquartered in New York City. Founded in 2010, CoEnterprise delivers Data & Analytics solutions and services that transform how companies connect and do business. CoEnterprise approaches each relationship and engagement from the perspective of three core values: collaboration, ownership, and excellence. We value collaboration with both our partners and clients in order to present the best possible outcome for our customers. Our vow to accept ownership ensures that our entire staff takes pride in our work and it is our commitment to excellence that ensures that this work is at the highest standard possible.

# Job Description

CoEnterprise is seeking a talented Analytics Consultant or Analyst with Tableau experience to join its growing Big Data and Analytics Practice. The person in this role works closely with clients to understand and analyze data providing actionable insight. 

# The candidate will:

* Define and/or offer guidance on best practices during implementation and integration of Tableau
* Plan, design, and execute performance tests of platforms
* Develop and document technical architecture, system designs, performance test results, and other technical aspects of Tableau implementations
* Share best practices with the Big Data & Analytics team
* Address clients’ questions concerning data integrity
* Provide infrastructure and platform sizing for projects, including hardware and software requirements

# Qualifications

* Bachelor’s Degree in Computer Science, Information Systems, Economics, or related field with a minimum of 2 years of related experience in the use of Tableau Data Visualization software
* 2+ years’ experience programming business requirements, technical analysis and design, coding, testing, and implementations of customizations within the Tableau software environment
* 2+ years of dashboard development experience
* Strong oral and data communication skills
* Aptitude for interpreting data outputs and articulating findings to managers
* Intermediate to advanced MS Office skills (especially Word, Excel and PowerPoint)
* Knowledge of R or other statistical software and experience analyzing data is highly desirable
* Consulting experience preferred

# Additional Information

Come experience our spirited culture and work with a smart, dedicated and high-energy team in a stable and fast-growing company! Here is a small sample of the benefits and perks we offer:

* Casual dress code everyday
* Comprehensive Medical, Dental and Vision
* Matching 401k
* Generous PTO policy
* Commuter Benefits
* Happy Hours and other fun events
* Game/Break room and snacks
* Bagel Wednesdays

Position based in our New York City headquarters is in midtown conveniently located near Penn Station, Port Authority and Times Square.

Tableau Analytics

# Why Divvy?

Over the past decade, millions of Americans have been forced to put their dreams of homeownership on hold. Home prices have outpaced wage growth while mortgage requirements continue to tighten. As a result, renters are missing out on a critical wealth-building opportunity: owning a home.

At Divvy, we're building an on-ramp to homeownership – one that's more affordable, more flexible, and an overall better fit for the modern American family – and it’s working.

We’re looking for a Data Scientist to join our growing company. In this role, you’ll ensure the financial viability of our business by developing our underwriting and/or pricing models. Developing this model will also mean simulating new financial product offerings which match customer needs to Divvy’s capacities.  Day to day, this will include a mix of dataset acquisition, statistical modeling, exploratory data analysis, and software engineering. You’ll report directly to Divvy’s CTO and work alongside a team of 8-10 software engineers and data scientists.

# Responsibilities

* Build and refine our default and/or pricing models using structured data
* Identify, analyze, and acquire new data sources to improve model accuracy
* Influence Divvy’s product offerings based on quantitative insights
* Become a domain expert in risk and/or pricing

# Work Experience

* You have 3+ years of experience in machine learning, data science or analytics
* You have experience in either R or Python
* You have a strong understanding of statistical modeling techniques
* You demonstrate the ability to clearly communicate analysis
* Bonus points for previous credit default modeling experience, risk management experience, and/or real estate pricing (AVM) experience

# Perks

* Competitive salary + equity
* Full benefits (medical, dental, vision, 401k, commuter)
* A beautiful dog-friendly office
* Diverse, smart, and witty co-workers

Vericast is a premier marketing solutions company that accelerates profitable revenue growth for the 70,000 businesses it serves directly by influencing consumer purchasing and transaction behavior at scale while engaging with over 120 million households daily.  Its major business units, Valassis, Harland Clarke, Save.com, and QuickPivot are recognized as leading providers of incentives, advertising, marketing services, transaction solutions, customer data and cross-channel campaign management, and intelligent media delivery that create millions of customer touch points annually for their clients.

# Job Description

Staff Data Scientist – Machine Learning & Decision Processing

Vericast is the leader in online and offline advertising technology.  As a Data Scientist at Vericast your work is central to keeping us at the forefront of the marketing technology industry.  Our data scientists focus on developing smarter data-driven technology that drives relevant messages through all marketing communication channels.

We are seeking data experts who are passionate about using cutting edge technology and data science methods to solve unique and complex problems. The ideal candidate is innately curious about how data can be used to tell a story and inform decisions. You have honed your skills through a combination of education, work experience, and hobbies.  You are excited about the complexity and challenges of creating intelligent, high performance systems while working with a highly experienced and driven data science team.

If this describes you, we are interested. You can be an integral part of a cross-disciplinary team working on highly visible projects that improve performance and grow the intelligence in our product suite.  Our day-to-day work is performed in a progressive, high-tech workspace where we focus on a friendly, collaborative and fulfilling environment.

# On any given day you’ll be…

* Implementing predictive models with rapid retraining through various ML methods
* Designing and developing interactive reports for internal and external customers for business decision making using Tableau/AWS tech stack
* Using models to provide insights into prospect and customer behavior
* Working in an HDFS/Spark environment that processes over 12 trillion calculations to decision on more than 110 billion online ads per day
* Using geo location data to track foot traffic, commercial visitation and next most likely visit to understand consumer physical behavior
* Using online behavior data to determine the primary interest categories of consumers and the web properties they visit
* Developing algorithms to optimize the setting of every lever in a high throughput real-time decision system
* Building model inference pipelines to better understand the efficacy of models in production or for compliance reporting
* Setting up and running distributed training and inference cycles using AWS Sage Maker
* Building scalable ETL pipelines using various AWS services like S3, EMR, Lambdas, etc.
* Analyzing data to better understand how a neighborhood’s consumption of web pages correlates with visits to a local big box store
* Finding the handful of outliers in billions of rows of transactional data
* Building new products with applied AI and bringing them to market

# Our ideal candidate will likely have…

* Four years working experience & desire to perform similar tasks to those listed above
* An advanced degree in a relevant, quantitative field or equivalent experience
* Firm and intuitive grasp of the math and fundamentals behind statistical and ML techniques
* Ability to grow and ultimately mentor team members of varying experience levels and competencies through data science, product and software development life cycles

# WHAT'S IN IT FOR YOU?

Vericast offers a generous total rewards benefits package that includes medical, dental and vision coverage, 401K matching and generous PTO allowance. A wide variety of additional benefits like life insurance, employee assistance and pet insurance are also available, not to mention smart and friendly coworkers!

# WHO WE ARE: 

Valassis, a Vericast business, is the leader in marketing technology and consumer engagement. We work with over 60,000 companies and brands in a wide array of industries, partnering to anticipate consumer intent, inspire action, and create demand. NCH Marketing Services, Inc. and Clipper Magazine are Valassis subsidiaries, and RetailMeNot Everyday™ is its consumer brand. Its signature Have You Seen Me?® program delivers hope to missing children and their families.

Staff Data Scientist

CoEnterprise is an award-winning B2B software and professional services company headquartered in New York City. Founded in 2010, CoEnterprise delivers Supply Chain and Business Analytics solutions and services that transform how companies connect and do business. CoEnterprise approaches each relationship and engagement from the perspective of three core values: collaboration, ownership, and excellence. We value collaboration with both our partners and clients in order to present the best possible outcome for our customers. Our vow to accept ownership ensures that our entire staff takes pride in our work and it is our commitment to excellence that ensures that this work is at the highest standard possible.

# Job Responsibilities and Key Activities

* Review and confirm requirements for Data Hygiene cleanup algorithm.
* Document potential use cases for data cleanup, example: missing decimal point, wrong field, mismatched units, etc.
* Analyze requirements and recommend a technical solution using Python and existing. Develop Python script to execute cleanups for identified documented use cases.
* Unit test basic functionality of each use case. Iterative testing and tuning.
* Incorporate feedback, as mutually agreed upon, into final solution build. Perform testing on sampled test datasets. Identify additional use cases if applicable from testing and incorporate into solution. Iteratively improve algorithm until success criteria is met.
* Perform user acceptance testing (UAT).  
* Create solution documentation, including functional and technical designs. Review solution documentation and walk through.

# Must Have:

* Python
* Machine Learning

# Nice-to-have Skills

* DataRobot
* Databricks
* Paxata

We are Moonshot Brands, a Y-combinator-backed company (W21). We acquire, operate, and grow profitable e-commerce brands that sell on Amazon and DTC and empower happy entrepreneurs. We know how to optimize and run these businesses better than anyone else because we’ve run and sold five of them. As entrepreneurs ourselves, we are building the acquisition process that we would have loved to experience when we sold our businesses in the past. Moonshot Brands is backed by Y-combinator and leading Silicon Valley VC funds. Our founding team members are serial entrepreneurs with 5 exits, including an online used car marketplace, Shift.com now listed on the NASDAQ and an e-commerce site, focused on home goods acquired by a private equity firm. The founders are Wharton and MIT graduates who have deep M&A, Finance, and Hedge Fund experience including Bridgewater Associates, McKinsey, and Airbnb. We are building the world’s best team to build a company by operators for operators as we know we will build the company that changes the entire e-commerce landscape and would love to add the best like-minded people to our dream-team. If you’d like to be part of this Moonshot which will be a fun fast-paced rocketship that will change the future of e-commerce brands and you think you can keep up and add significant value to our mission we’d love to hear from you.

# About The Role

Moonshot Brands is seeking a high-performing Data Scientist to support both our internal and portfolio company operations. In this role you will work to uncover patterns and generate insights by building and deploying predictive machine learning models that assist with our sourcing and optimization of portfolio company sales, marketing and operations. The candidate will have exposure across all of Moonshot’s portfolio companies and create broad top-down strategies as well as brand specific solutions based on analytical rigor. The Data Scientist will also provide perspective on Moonshot’s collection of data that will be analyzed to inform future business decisions. This role requires a high level of autonomy.

# Responsibilities

* Setting strategies for data collection, maintenance, analysis and utility of insights
* Identifying business problems to solve with data-driven approaches
* Overseeing machine learning, AI and algorithmic development that automates various aspects of our deal operations and portfolio operations workflows
* Analyzing sales, marketing, logistics and other operational data to generate insights on opportunities for improvement
* Design and implement algorithms to tackle a wide variety of datasets using open source libraries, third party API’s and in house developed algorithms
* Analyzing marketplace data to identify potential opportunities for acquisition
* Reporting on patterns and insights to cross-functional teams of M&A professionals, operators, and e-commerce brand founders
* Establish partnerships with technology and data vendors that aid in accomplishing Moonshot’s analytics strategy
* Identify opportunities for continuous improvement to processes and propose solutions to be implemented
* Foster effective dialogue with cross-functional teams to facilitate processes. Anticipate needs and challenges and provide seamless solutions
* Ensure all activities are in compliance with applicable rules, regulations, policies and procedures

# Qualifications

* 5+ years of proven experience as a Data Scientist, similar role or career progression.
* Experience working as a data scientist in CPG/Retail/e-Commerce companies
* Deep knowledge in statistics, Machine Learning and Time Series Forecasting/Analysis
* Knowledge of data management, data engineering and visualization techniques
* Experience in writing complex SQL queries and working in a multi-database environment
* Relevant scientific academic background - ability to read and implement insights from academic papers
* Knowledge in building production-ready code (Object Oriented, Design Patterns etc.) - a plus
* Experience with Big Data technologies such as Spark, Hadoop, Hive - a plus
* Experience in building NLP models incl. relationship extraction, entity extraction, topic modelling etc. - a plus
* Bachelor’s Degree in Computer Science, Engineering, or related field required
* Detail-oriented with strong analytical abilities
* Excellent mathematical, writing, verbal and computer skills
* Ability to adapt to new tasks with little notice
* Effective leadership and coaching skills
* Strong desire to win
* Sound judgement
* Deep, sophisticated understanding of accounting and finance
* Commitment to satisfying internal and external customers