Chewy: Data Scientist III
343 Congress Street
Boston, MA 02110

Employee Testimonials


Our Opportunity:

The Data Scientist III builds predictive models for Marketing Analytics within the retail industry and has strong proficiency with Python, R and Time Series Analysis. This position will be in our Boston, MA office. The Data Scientist III develops and implements statistical analyses, summaries, and predictive machine learning models for use in marketing campaigns. The Data Scientist III evaluates model effectiveness by using modern as well as classical statistical inference and provides model validation results to both data science and business partners. The Data Scientist III will have sole ownership of one or more analytics projects at any given time as well as act a contributor to latter data science projects executed by team members. The Data Scientist III collaborates with data engineers and developers using DevOps technology (e.g., Git, GitHub, Jira, Confluence).

What you'll do:

  • Translate business questions and concerns into specific quantitative questions that can be answered with available data using sound methodologies. In cases where questions cannot be answered with available data, work with engineers to produce the required data.
  • Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.
  • Analyze historical data to identify trends and support decision making.
  • Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters.
  • Provide requirements to develop analytic capabilities, platforms, and pipelines.
  • Apply statistical or machine learning knowledge to specific business problems and data.
  • Formalize assumptions, create statistical definition of the outlier, and develop methods to systematically identify these outliers - Work out why such examples are outliers and define if any actions needed.
  • Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes - Make Decisions or recommendations.
  • Build decision-making models and propose solution for the business problem you defined.
  • Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication.
  • Work with statistical and machine learning models, data mining, unstructured data analytics in corporate environments.
  • Collaborate with a team of data scientists in developing and delivering machine learning models. that work in a production setting.
  • Assess model accuracy using custom metrics over complex date-time and categorical segments.
  • Work as key contributor to cross-functional, multi-disciplinary teams assembled for large scale data science projects.
  • Lead marketing analytics data science platform development in Python.

What you'll need:

  • BA/BS in Computer Science Statistics, Mathematics, or other quantitative disciplines and 6+ years of experience with statistical modeling OR
  • MS/Ph.D. in Computer Science, Data Science, Mathematics, or Statistics and 3+ years of experience with statistical modeling, with a minimum of 1 year of analytical experience in marketing analytics.
  • Production experience with Python scientific stack required.
  • Advanced proficiency with Python/R/SQL.
  • 1+ years of experience working within AWS.
  • Communicate concisely and persuasively with engineers and product managers.
  • Prior experience and continued interest in mentorship and technical development of junior data scientists.
  • Excellent problem solving, critical thinking, creativity, organizational, design, and interpersonal skills; ability to work well with all levels of engineers. Confirmed ability to handle multiple projects with strict deadlines.
  • Position may require travel.


  • Experience in MarTech space.
  • Experience in ecommerce marketing analytics.

Employee Testimonials

Bill Poitras
Software Engineer

It’s amazing working with such a diverse group of talented people at Chewy! I really love the culture of fun, collaboration, hard work, and innovation that I’ve seen throughout the company. I especially am impressed the lengths our company strives to wow our customers. I’ve witnessed first-hand how our customer service representatives not only encourage the passion of pet parents, but share their own. I’m grateful for the opportunity to learn so much new technology and the world of e-commerce.

Becca Litwack
Affiliate Marketing Manager

The environment at Chewy is energizing and there is a strong sense of purpose. Our focused attention to the customer leads to great enthusiasm for the work we get to do. There is real comradery on the teams as well – our team frequently lunches together which lends to a friendly work environment, collaboration, and innovation. Having dogs in the office doesn’t hurt either!

Shantesh Kanekar
Director of Software Engineering

The company known for best in class Customer Service knows how to keep its internal customers (our team members) happy, too. There is a positive energy and vibe the moment you set foot in the office. The workforce at Chewy is a vibrant mix of diversity in all aspects but one thing that is common is the shared belief of being the best in class at whatever job function one is in.

Chris Foley
Senior Software Development Manager

Working at Chewy is fast-paced, challenging, and very fulfilling. Each person here has the opportunity to have a profound effect on how we wow both our internal and external customers. We place a very high value on customer service here at Chewy and regardless of what you are working on, the customer satisfaction is always going to be #1. By everyone working towards the same common goal, teamwork organically happens in everything we do.