Lead Data Science Product Manager
Health Care Service Corporation
Principal Data Scientist, ML – Planning
Que
full-time
Posted on:
Location: California • 🇺🇸 United States
Visit company websiteJob 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.
