Chewy
From Chewy's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
You will partner daily with data science, software engineering, business, and product teammates and partners.
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.
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.
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.
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 CAAR@chewy.com.
To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.
Scores your resume against this job the way resume scanners do: the job's hard and soft skills, searchability, recruiter tips and formatting.
Create a free account to see your score. Your resume stays in this browser until then, and we never store it.
Already a member? Sign in