Chewy
At Chewy, our mission is to be the most trusted and convenient destination for pet parents and partners, everywhere.
Hybrid

Senior Data Scientist

Sorry, this job was removed at 12:50 p.m. (CST) on Wednesday, August 17, 2022
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Our Opportunity:

Chewy's Supply Chain Team is seeking a Senior Supply Chain Data Scientist to join its growing Inventory Optimization team. Combining a background in Supply Chain with a deep understanding of optimization and data science, you will be a part of a team responsible for strategic planning and research initiatives centered around Chewy’s inventory strategy. Your optimization models will guide Chewy’s inventory placement strategy as we aim to improve customer experience though shorter transit times while reducing Chewy’s inventory holding costs and transportation spend. Moreover, you will develop Data Science solutions to support partners across Network Topology, Forecasting, Replenishment, and Operations to scale with the business’s growing needs. You will serve a subject matter expert, mentoring Data Scientists on the team to develop a world class data science organization.


What You'll Do:

  • Mentor and support a team of Data Scientists in developing new models and algorithms in the Inventory Optimization space
  • Develop optimization models to establish an ideal inventory placement strategy at Chewy
  • Create models to quantify item substitutability and interactions between inventory in Chewy’s catalog
  • Partner with business users and other data scientists and engineers to build automated solutions at the intersection of inventory optimization, replenishment, topology, and operations
  • Develop scenario management models to facilitate “what if” scenario planning
  • Communicate your findings to senior leaders and executives throughout the company


What You'll Need:

  • 5+ years’ experience designing optimization and machine learning solutions for large scale applications
  • Ability to understand and apply advanced mathematics
  • An advanced degree (M.S., PhD, or equivalent experience) in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field
  • Python or R mastery
  • Extensive experience working with Linear Programming, Mixed Integer Linear Programming, and ML models
  • Ability to translate complex data sets and research into simple business recommendations
  • Ability to manage multiple projects
  • Ability to work through infrastructure build out and coordinate with IT and BI business partners
  • Ability to use collaborative programming tools (Git, Confluence, etc.), and assist and support junior colleague’s use of those tools
  • Experience mentoring both junior and experienced data scientists

Bonus:

  • Supply chain experience
  • E-com, Retail or startup experience is a plus.
  • Strong leadership skills and outgoing personality



Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members.
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 Chewy, 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: https://www.chewy.com/app/content/privacy).

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What are Chewy Perks + Benefits

Chewy Benefits Overview

It all starts with taking care of our Team Members.

At Chewy, we recognize the importance of providing meaningful and impactful work. That’s why we are constantly innovating, pushing the limits to delight our customers and colleagues, and providing endless ways for our Team Members to build, grow and develop.

We also understand that wellbeing is different for everyone and offer a wide variety of traditional and unique benefits. Here’s a sampling of what we offer:
• Competitive wages and retirement benefits such as 401k and Long-Term Incentives (LTI)
• Chewy University (Chewy U) for learning, growth, and development resources
• 20% Team Member discount on Chewy.com
• Unlimited PTO (for Exempt, Full-Time, salaried employees)
• Pet-friendly Chewy Corporate hubs in Boston, MA; Bellevue, WA; and Plantation, FL
• Maternity/Paternity and family bonding leave covered at 100%
• Paw-ternity Leave (yes–that means time off when you adopt a new pet)
• DEI-focused Team Member Resource Groups (TMRGs)

Culture
Volunteer in local community
Partners with nonprofits
Open door policy
OKR operational model
Team based strategic planning
Pair programming
Open office floor plan
Flexible work schedule
Remote work program
We're currently 100% remote due to caution and care for the health & well-being of our team. Post-pandemic, we plan to operate in a combination of onsite and remote, with logistics still being defined
Diversity
Dedicated diversity and inclusion staff
Highly diverse management team
Mandated unconscious bias training
Diversity employee resource groups
Hiring practices that promote diversity
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
We offer a commuter transit, parking, and dependent care FSA.
Disability insurance
Dental insurance
Vision insurance
Health insurance
Life insurance
Pet insurance
Wellness programs
Mental health benefits
Financial & Retirement
401(K)
401(K) matching
Company equity
Performance bonus
Child Care & Parental Leave Benefits
Childcare benefits
Generous parental leave
Family medical leave
Return-to-work program post parental leave
Vacation & Time Off Benefits
Unlimited vacation policy
Paid holidays
Paid sick days
Office Perks
Commuter benefits
Company-sponsored outings
Free snacks and drinks
Some meals provided
Company-sponsored happy hours
Pet friendly
Recreational clubs
Chewy sponsors office sports leagues year-round.
Relocation assistance
Professional Development Benefits
Job training & conferences
Lunch and learns
Cross-functional lunch and learns.
Promote from within
Mentorship program
Online course subscriptions available
Customized development tracks

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