Associate Director, Data Science

2 months ago

Minneapolis, United States Chewy Full time
JOB DESCRIPTION

Our Opportunity:

Are you ready to shape the future of fulfillment? Do you want to see your work drive innovation across a nationwide network? If so, the Chewy FC Science team is hiring

We are on a mission to revolutionize how Chewy’s Fulfillment Network operates through the use of Optimization, Data Science, Machine Learning and AI. We’re building a high-fidelity Digital Twin—a real-time, AI-driven simulation that mirrors our fulfillment centers down to the last detail. Using the ground breaking Nvidia Omniverse platform, we’re not just imagining the future; we’re creating it. Join us and be part of a team that’s pushing the boundaries of simulation, robotics, and computer vision to unlock new levels of growth and efficiency. Your ideas will directly influence key decisions, reduce costs, and elevate Chewy’s fulfillment capabilities to new heights.

We are hiring an Associate Director, Data Scientist in Boston, MA, or Minneapolis, MN. In this position, you will be integral to building a team focused on using advanced statistical methods to improving fulfillment operations. You will be engaged from idea inception to analysis, architecture, model/algorithm creation, pipeline design, tuning and deployment.

Our team thrives on learning and working together to deploy these models, continually advancing our techniques and pushing the boundaries of what's possible. Join our high-achieving team and make a direct impact on the future of fulfillment at Chewy

What You'll Do:

Lead and mentor team of Data Scientists, Research Scientists, Machine Learning Engineers and Software Engineers Develop and implement models and algorithms to solve complex fulfillment problems using operations research, statistics, and machine learning technologies Apply artificial intelligence and/or machine learning methods to design, test and scale effective, reliable frameworks, systems, and models to improve the usefulness of big data and predictive applications Work with Data/Research Scientists, Robotics/Software Engineers, Product Managers and Operations Leaders to develop and support new data science software products Formalize assumptions about model behavior, define outliers, develop methods to systematically identify and address them, and explain or resolve these issues. Communicate research findings and technical insights to business customers of varying technical backgrounds, providing clear recommendations and educating stakeholders. Implement process improvement initiatives that drive improvements to the metrics and streamline operations

What You'll Need:

An advanced degree (undergraduate, M.S. or equivalent experience) in Operations Research, Statistics, Applied Mathematics, Physics, Data Science, or equivalent quantitative fields such as Engineering, Computer Science with a background in machine learning 5+ years of hands-on experience in developing and deploying optimization, predictive and machine learning model 3+ years of experience in leading and managing operations research, data science or advanced analytics teams Experience in leading and mentoring team of scientists Excellent verbal and written communication skills and the ability to explain details of complex concepts to non-expert customers in a simple and understandable way Experience coding and analyzing data using Python, SQL or R Extensive experience working with Linear Programming, Mixed Integer Linear Programming, and ML models Experience with frameworks such as Pytorch, TensorFlow or Keras

Bonus:

Experience with Amazon Web Services tools such as SageMaker or other similar platforms Experience of translating ambiguous customer requirements into clear problem definitions and delivering them Experience with Fulfillment, Robotics or Computer Vision systems

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