Data Scientist developing machine learning and AI solutions at STATSports. Turning GPS and IMU sensor data into actionable insights for athlete performance and decision - making.
About the role
- Principal Data Scientist handling scenario planning and optimization across the organization at HP. Driving adoption of AI-based scenario engines and mentoring teams in data science.
Responsibilities
- Design and govern the enterprise-wide scenario planning framework, including templates, taxonomies, and scalability standards
- Build multi-layer simulation frameworks (deterministic, stochastic, Monte Carlo, empirical)
- Define relationships between scenario outputs and planning decisions (e.g., SL trade-offs, buffer logic, allocation rules, capacity constraints)
- Lead cross-functional scenario reviews with Finance, Category, Factory Ops, and Regional Planning
- Identify and formalize structural drivers of risk: forecast drift, bias, lead-time volatility, cannibalization, velocity shifts, market shocks
- Architect the technical foundation for the scenario engine (configs, abstraction layers, ML/optimization modules)
- Drive integration into IBP/S&OP cycles, including automated updates and governance
- Mentor Expert and Specialist DSs; define capability roadmap for the scenario DSC (Data Science Center of Excellence)
- Represent DS in executive forums; simplify technical concepts for senior leadership
- Ensure compliance with model governance, explainability, auditability, and risk controls.
Requirements
- 10+ years in Data Science, Decision Science, Optimization, or Scenario/Risk modeling
- Deep knowledge of scenario planning, stochastic methods, optimization theory, and forecasting analytics
- Experience designing large-scale decision systems for planning (IBP, S&OP, supply/demand)
- Strong Python engineering + architectural design capability
- Familiarity with Gurobi/OR-Tools, PyMC, Monte Carlo simulation engines, and time-series decomposition
- Experience building frameworks, not just models; ability to define system-level abstractions
- Excellent communication and executive influencing capability.
Benefits
- Equal Employment Opportunity (EEO) policies
- Workplace discrimination information
- Zero-tolerance policy towards discrimination
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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