Sr Data Scientist (Senior Applied Economist)

| Greater Boston Area
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Our Opportunity:

Chewy is looking for a Senior Applied Economist, Data Scientist or Statistician to join the newly formed Marketing Science function within the Marketing Product, Science and Tech team at Chewy in Boston, MA. The team uses Business Economics, Statistics, and Machine Learning techniques to understand and serve the needs of our pet-parents. Developing data-driven marketing solutions, we are an interdisciplinary team of analysts, who are committed to solving business problems using cutting edge technologies and developing data-driven marketing solutions. 

As part of the growing team of strategic analysts and data scientists within Marketing Science, you will have ample opportunities to provide structures to numerous business problems for all things marketing and existing Chewy customers. The problems will range across various stages of the customer lifecycle and marketing levers (product, pricing, promotions, placement, and convenience). With direct exposure to the cross-functional stakeholders, you will have a unique opportunity to formulate analytical solutions for these problems from scratch and develop customer-centric products for efficiency using experimentation, data science and analytics. For such efforts, you will closely work with the data science, analytics, and data engineering teams focused on onsite and offsite marketing. 

What You'll Do:

  • You will develop the measurement and optimization frameworks to improve the efficiency of the overall decision-making process For that you will closely work the stakeholders within the marketing and merch category teams (Consumables, Hardgoods, Healthcare, etc.), and the data analysts/scientists within the Marketing Analytics team. For example, you will identify the events that attribute to the inflection points in customer behavior and quantify the impact for those events for specific business segments, and the overall business
  • You will develop capabilities and automated self-service solutions that will help accelerate the long-term measurement cycles of different business policies, new programs, customers engagement, etc.
  • Focusing on customer appetite, willingness to pay and product lifecycle, you will propose state-of-the-art machine learning and experimentation methodologies to maximize the ROI on investments such as promotions, win-back offers, loyalty, retention, etc.
  • As you collaborate with the teams to design experiments, measurement, analyses, and recommendations, you will support the outcomes using causal inference methods to bring precision and speed in the decision-making process
  • You will develop the capabilities and automated solutions that will help
    • quantify the impact of different strategic decisions, customer-driven actions and business processes
    • use data-science approaches to bridge changes in KPIs to internal drivers (ex: customer/product/channel mix, etc.)
    • push the tenet to continue to focus on incrementality
    • provide data-driven guidance on key business decisions and trade-offs
    • audit the projected downstream benefits against the realized benefits and adjust future projections accordingly.
  • You will be responsible for the full Data Science lifecycle from conception to prototyping, testing, deploying, and measuring the overall business value of the models. Also, you will periodically develop the model health reports to ensure the integrity of the underlying processes and assumptions. If needed, you will refit the model following the model lifecycle. Using the ML model outputs, you will work with a team of strategic analysts and engineers to triangulate different inputs and optimize the solutions for different business problems
  • You will collaborate with data analysts/scientists and engineers to ideate, architect, and build the technical platforms for our algorithmic engines such as Targeting and Product Optimization for Cross-sell/Up-sell/Autoship/Onboarding, etc., Promotion Optimization, Loyalty Program Optimization, etc.
  • You will use data to improve how we make decisions and ultimately, enhance customer experience and drive loyalty. You will surface deep insight hidden in our data lakes and provide tactical and strategic guidance on how to act on findings. It will include developing data-science driven customer segmentation (Lifecycle Segments, Value Segments, etc.)
  • You will coordinate with the data engineering teams to develop the automated pipelines to perform different stages of the model life cycle (data collection and cleaning, model development and validation, model deployment and scoring, periodic validation, and refitting, etc.)

What You'll Need:

  • PhD in Economics or highly related field (Finance, Statistics, Math)
  • 5+ years of experience in the industry, consulting, government, or academic research
  • Experience in applied economic analysis/causal inference and with big data and machine learning techniques
  • Experience in building econometric and machine learning models to answer challenging and impactful questions
  • Coding ability in a scripting language such as Python, R, Matlab, SQL, SAS or STATA
  • Working knowledge of AWS data toolset (Glue, Athena, Sagemaker, Redshift, etc.)
  • Experience of crystalizing ambiguous business problems into clear problem definitions and delivering them
  • Excellent verbal and written communication skills with the ability to explain details of complex concepts to non-expert stakeholders in a simple understandable way
  • Preferably experience of working in customer behavioral science focused on marketing
  • Preferably experience of working in the e-commerce industry
  • You enjoy working in a team of highly engaged individuals, and you have a passion for data science and KPIs, but also for delivering analysis of the highest quality
  • Proven experience in identifying opportunities for business improvement and defining and measuring the success of those initiatives
  • Demonstrated ability to dig into the “why” of various results and present data-driven insights and recommendations.
  • Proven analytical and quantitative skills and an ability to use data and metrics to back up assumptions, develop business cases, and complete root cause analyses
  • Ability to multi-task and work under firm deadlines within a rapidly changing environment
  • Passion for data (and fearlessness in the face of a data tsunami) and obsession to use it to drive value for customers and business
  • Can work in a fast-paced environment and be persuasive and caring with a wide range of diverse, cross-cultural audiences
  • Ability to thrive in complex business environments defined by uncertain, incomplete, or limited information and evolving targets Comfortable finding (or building) common ground to drive his/her agenda
  • Strong at operating under constrains, and prioritizing time-sensitive deliveries
  • Some travel may be required

If you have a disability under the Americans with Disabilities Act or similar law, or you require a religious accommodation, and you wish to discuss potential accommodations related to applying for employment at our company, please contact [email protected]

To access Chewy’s Privacy Policy, which contains information regarding information collected from job applicants and how we use it, please click here: Chewy Privacy Policy (https://www.chewy.com/app/content/privacy).

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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
Partners with Nonprofits
Friends outside of work
Eat lunch together
Intracompany committees
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
Flexible Spending Account (FSA)
We offer a commuter transit, parking, and dependent care FSA.
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
Return-to-work program post parental leave
Vacation & Time Off Benefits
Unlimited Vacation Policy
Paid Holidays
Paid Sick Days
Employees receive 40 hours per year of paid sick leave.
Perks & Discounts
Beer on Tap
Casual Dress
Commuter Benefits
Company Outings
Game Room
Our game room includes Ping Pong, Pool Table, Foosball, Video Games.
Stocked Kitchen
Some Meals Provided
Happy Hours
Pet Friendly
Recreational Clubs
Chewy sponsors office sports leagues year-round.
Relocation Assistance
Professional Development Benefits
Job Training & Conferences
Diversity Program
Lunch and learns
Cross-functional lunch and learns.
Cross functional training encouraged
Promote from within
Mentorship program
Our mentorship program includes 1-to-1 program, Career mentoring, Leadership mentoring.
Online course subscriptions available
Customized development tracks
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