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Data Scientist III

Chewy

Bellevue, WAFull-time$130–225K/yrPosted todayStill listed today

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At a glance

Compensation
$130–225K/yr
Location
Bellevue, WA
Schedule
Full-time
Work Authorization
Not specified

Olive focuses on jobs in the United States, including remote roles you can work from there.

Requirements

Credentials this posting asks for.

Master's degree, required

Job overview

Chewy’s Inbound Technology team seeks a Data Scientist III to develop and implement data science solutions for inbound supply chain challenges, including transportation decisions and labor planning. The individual contributor will partner with data science, engineering, business, and product teams, lead initiatives, and mentor colleagues. The role is based in Bellevue, Washington, or Plantation, Florida.

Skills & qualifications

RequiredNice to have

Skills

Machine Learning, requiredOperations Research, requiredStatistics, requiredSimulation, requiredArtificial Intelligence, requiredData Pipelines, requiredFeature Engineering, requiredData Validation, requiredSQL, requiredPython, requiredGit, requiredConfluence, requiredModel Evaluation, requiredPerformance Monitoring, requiredMathematical Optimization, requiredGurobi, nice to havePlain-English Communication, requiredSupply Chain, nice to haveLogistics, nice to haveE-Commerce, nice to haveData Visualization, nice to haveTableau, nice to have

Qualifications

5+ Years Model Development, requiredAdvanced Degree in Data Science or Equivalent, requiredMaster's or PhD in Data Science, Industrial Engineering, Operations Research, Statistics, Applied Mathematics, or Equivalent, required

Benefits

Medical Insurance
Vision Insurance
Dental Insurance
Parental Leave
Paid Time Off

Full job description

Job Description:

Our Opportunity: Chewy’s Inbound Technology tam is seeking a Data Scientist III to join our Inbound Tech team in Bellevue, WA or Plantation, FL. The team focuses on technology improvements in the inbound supply chain space, ranging from transportation decisions to informing labor planning. You will partner daily with data science, software engineering, business, and product teammates and partners. This role will act as an Individual Contributor to design, test, and implement solutions and analyses, lead initiatives, and mentor less experienced teammates.

Millions of outbound shipments are only possible when we bring the right material into our facilities at the right time. In inbound logistics, you must be nimble and creative, able to balance various priorities, and be adept at looking at a situation and identifying ways you can apply your data science expertise to improve decision-making, efficiency, cost, or safety. This team has a unique culture of both working independently AND being available to brainstorm with or help teammates on gnarly problems. This is only possible when we all excel at our Operating Principles of Deliver Results and Earn Trust.

What You’ll Do:

  • Develop new and improve existing models and solutions to solve complex supply chain problems using machine learning, operations research, statistics, and relevant simulation or artificial intelligence (AI) techniques. Design, build, and monitor metrics to confirm impact of your solutions.
  • Design and maintain data pipelines for large-scale modeling workflows, including feature engineering and data validation for large, complex datasets.
  • Implement process improvement initiatives by developing new data sources, developing and testing model enhancements, and reducing computational complexity
  • Deep dive performance and supply chain data to explain change, develop insights, and provide recommendations
  • Establish strong working relationships with and partner with other functional teams across Fulfillment, Supply Chain, and Finance. Understand their needs, to maximize your ability to meet their needs with technical solutions.
  • Write and present one-page proposals to gain stakeholder buy-in for new models, and white papers that clearly explain the assumptions, results, and business recommendations of implemented models. Design clear and concise updates and visualizations at detail levels appropriate to the audience.

What You’ll Need:

  • 5+ years of experience developing and deploying optimization, machine learning, and/or predictive models in fast-paced environment
  • Advanced degree (MS or PhD) in Data Science, Industrial Engineering, Operations Research, Statistics, Applied Mathematics, or equivalent field
  • Mastery in SQL and Python
  • Ability to use collaborative programming tools (Git, Confluence, etc.), and assist and support junior colleagues’ use of those tools
  • Hands-on industry experience developing, validating, and deploying machine learning models to solve complex business problems, including feature selection, model evaluation, and performance monitoring.
  • Hands-on industry experience building and deploying large-scale mathematical optimization models (LP, MILP, etc.) in production using Gurobi (strongly preferred) or similar solvers.
  • Ability to translate complex analysis and data science concepts into ‘plain English’ and simple business recommendations.

Nice to Have:

  • Experience in a supply chain, logistics, or e-commerce environment.
  • Experience with data visualization tools and packages (Tableau or similar)

The base salary range for this role is $130,000 - $225,000.00.• The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.

We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.

Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.

Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact [email protected].

To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.

How this job compares

Set against the 4,384 open Data Scientist jobs on Olive Jobs, counted November 13, 2026.

Pay
  • This posting$130–225K/yr
  • Washington median$143–215K/yr202 salary ranges
  • US median$133–212K/yr3,518 salary ranges

This range's midpoint, $178K, is close to the Washington median midpoint ($177K) — in the middle half of Data Scientist salary ranges in Washington.

Openings
Olive Jobs lists 218 open Data Scientist jobs in Washington and 4,384 across the US. 6% of them nationwide are listed as remote or flexible.
Hiring the most in Washington
Experience
This posting asks for at least 5 years of experience; Data Scientist postings that state a minimum ask for 5 years at the median (3,793 postings).
Education
This posting asks for a master's degree; 506 of the 4,384 open Data Scientist jobs (12%) ask for a master's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 13, 2026. Figures based on too few postings are left out.

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