Data Scientist III

| Greater Boston Area

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.

Bonus:

  • Experience in MarTech space.
  • Experience in ecommerce marketing analytics.
Read Full Job Description

Technology we use

  • Engineering
  • Product
  • Sales & Marketing
    • JavaLanguages
    • JavascriptLanguages
    • ScalaLanguages
    • jQueryLibraries
    • VueJSLibraries
    • Node.jsFrameworks
    • SpringFrameworks
    • GRPCFrameworks
    • Microsoft SQL ServerDatabases
    • MySQLDatabases
    • PostgreSQLDatabases
    • RedisDatabases
    • VerticaDatabases
    • AerospikeDatabases
    • Google AnalyticsAnalytics
    • BalsamiqDesign
    • IllustratorDesign
    • InVisionDesign
    • PhotoshopDesign
    • SketchDesign
    • UXPinDesign
    • ConfluenceManagement
    • JIRAManagement
    • dotCMSCMS

Location

Located in the Fort Point neighborhood, home to many of Boston's hip and upcoming restaurants along with emerging technology companies.

An Insider's view of Chewy

How would you describe the company’s work-life balance?

It's refreshing being a part of a team dedicated to getting the job done, without quilting you into extra hours. While we are in the retail space, we are always supportive of the team's needs. I don't feel guilty about asking for help if I'm pressed for time and need to get back to my family. The flexibility around working from home has been great

Marcus

Senior Product Manager

What projects are you most excited about?

Our team loves working on new app features that are requested by our customers! We get the most excited when our app users send us a request and then that idea comes to life in the next app update. We take our customer’s feedback very seriously!

Eliza

Mobile Product Manager

How has your career grown since starting at the company?

Chewy gives a significant amount of freedom and autonomy to do your best work. I am able to pursue the most important objectives, and work that I really enjoy. It’s an amazing feeling to see your hard work pay off immediately and have a positive impact on the team—and something that makes life at Chewy really unique!

Rich

Human Resources Business Partner

How do you make yourself accessible to the rest of the team?

Aside from the standard 1x1s and team meetings: 24/7 via text, email, chat, voice and during business hours by walking around the office engaging in conversation, listening to current challenges and proposed solutions.

Mike

VP, Software Engineering

What are Chewy Perks + Benefits

Chewy Benefits Overview

We got you covered when it comes to competitive salaries, unlimited time off, medical & dental insurance, 401k and happy hour. True to our business, we're pet-friendly and have fun pet-related perks like Paw-ternity leave for new pup parents. Of course, the biggest perk is being able to work alongside smart, driven and passionate team members who are changing the world every day.

Culture
Volunteer in local community
Friends outside of work
Eat lunch together
Daily stand up
Open door policy
Team owned deliverables
Team based strategic planning
Group brainstorming sessions
Pair programming
Open office floor plan
Diversity
Highly diverse management team
Health Insurance & Wellness Benefits
Disability Insurance
Dental Benefits
Vision Benefits
Health Insurance Benefits
Life Insurance
Pet Insurance
Retirement & Stock Options Benefits
401(K)
401(K) Matching
Child Care & Parental Leave Benefits
Generous Parental Leave
Flexible Work Schedule
Family Medical Leave
Vacation & Time Off Benefits
Unlimited Vacation Policy
Perks & Discounts
Beer on Tap
Casual Dress
Commuter Benefits
Company Outings
Stocked Kitchen
Some Meals Provided
Happy Hours
Pet Friendly
Relocation Assistance
Professional Development Benefits
Job Training & Conferences
Diversity Program
Lunch and learns
Acme Co. hosts lunch and learn meetings once per month.
Promote from within
Online course subscriptions available
Customized development tracks
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