Senior Lead Data Scientist - Operations Research & Inventory Optimization

sensata; Attleboro (MA); On-site; USD 120,000 - 164,000; Full time

Job summary

Sensata seeks a Lead Data Scientist, Operations Research to lead optimization, forecasting and decision modeling across Supply Chain, Procurement and Engineering. You will turn complex inventory, planning and cost problems into production models that guide planners, buyers and engineers in making better decisions.

You will set data science standards for operations AI, mentor data scientists, and partner with business leaders to ensure adoption of models that improve inventory, service and cost

Qualifications

• 7+ years building optimization, ML and statistical models for operational problems, with models deployed and in sustained use.
• Deep operations research expertise: linear and mixed-integer programming, constrained optimization, inventory theory, scheduling and simulation.
• Hands-on experience with optimization solvers and frameworks (e.g., Gurobi, CPLEX, OR-Tools, Pyomo).
• Strong time-series forecasting skills, including hierarchical and probabilistic methods and rigorous backtesting.
• Strong Python and SQL; comfortable working with raw ERP, EDI and manufacturing data.

Responsibilities

• Lead data science modeling and approach for variety operations use cases, incl. Supply Chain, from framing the problem through production and adoption.
• Build optimization models for inventory policy, multi-echelon safety stock, item segmentation, capacity and production planning, and lab/test scheduling.
• Build demand forecasting and signal-reliability models for noisy customer and EDI demand.
• Develop should-cost and spend analytics to support Procurement decisions.
• Design empirical tests to evaluate vendor and planning-platform models, and hold vendors to agreed performance thresholds.
• Set standards for modeling, validation and backtesting. Define retraining and monitoring requirements with the AI Platform/MLOps team.
• Work directly with planners, buyers and business leaders so models are adopted and improve inventory, service and cost.
• Give technical direction and mentoring to data scientists and AI engineers working on operations use cases.

Skills

Optimization modeling

Machine learning

Statistical models

Python

SQL

Communication skills

Leadership

Time management

Education

Master's or PhD in Operations Research or related field

Bachelor's degree or equivalent

Tools

Gurobi

CPLEX

OR-Tools

Pyomo

Excel

Job description

Sensata seeks a Lead Data Scientist, Operations Research to lead optimization, forecasting and decision modeling across Supply Chain, Procurement and Engineering. You will turn complex inventory, planning and cost problems into production models that guide planners, buyers and engineers in making better decisions.

You will set data science standards for operations AI, mentor data scientists, and partner with business leaders to ensure adoption of models that improve inventory, service and cost