Que

Principal Data Scientist, ML – Planning

Que

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Job Level

Lead

Tech Stack

PythonSQLTableau

About the role

  • Lead exploration, design, and implementation of data science solutions to optimize inventory planning and allocations.
  • Develop and execute the data science strategy for inventory and logistics planning, aligning with broader business goals.
  • Design, develop, and refine predictive models for demand forecasting, inventory optimization, and workforce allocation.
  • Leverage advanced machine learning and optimization techniques to solve complex supply chain and planning problems at scale.
  • Deploy ML models into production, run experiments, and enable performance monitoring in production.
  • Collaborate with product, business, and engineering partners to initiate, develop, and deploy cross-functional solutions.
  • Present outcomes and insights to business stakeholders and leadership.
  • Identify gaps in existing data, create data product specifications, and collaborate with Engineering teams to implement enhanced data tracking.
  • Partner with Analytics and other teams to share insights and best practices, ensuring consistency in data-driven decision-making.
  • Drive automation: continuously strive for automated and production-ready solutions to improve efficiency and scalability.
  • Candidates based in the SF Bay Area required hybrid work out of Palo Alto office 3 days/week; all other candidates may work fully remote.

Requirements

  • MS or PhD in statistics, mathematics, engineering, computer science, operations research or another quantitative field.
  • 7+ years of experience as a data scientist in relevant industry, with hands-on experience applying machine learning, predictive modeling, optimizations, and GenAI to optimizing inventory and logistics planning.
  • Deep knowledge in statistical, optimization and machine learning techniques.
  • Data science libraries in a programming or scripting language (proficiency with Python and SQL).
  • Model productionalization.
  • Excellent communication and presentation skills.
  • Experience with BI platforms such as Looker, Tableau, etc.
  • Move fast, be a team player, and be kind.