Data Science Leader

4 weeks ago

Minneapolis, Minnesota, United States Chewy Full time
Revolutionize Fulfillment with Chewy

Chewy is seeking an experienced Associate Director, Data Science to lead our Fulfillment Center Science team in Boston, MA, or Minneapolis, MN. As a key member of our team, you will be responsible for building and deploying advanced statistical models to improve fulfillment operations.

Key Responsibilities:
  • Lead and mentor a 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
  • 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 metrics and streamline operations
Requirements:
  • 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 models
  • 3+ years of experience in leading and managing operations research, data science, or advanced analytics teams
  • Experience in leading and mentoring teams 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 Requirements:
  • 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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