Lead Data Scientist, Operations Research

Sensata Technologies, Inc.; Attleboro (MA); On-site; USD 120,000 - 164,000; Full time

Benefits offered by this job

Competitive medical, dental, vision, &

Education reimbursement

Wellness programs

401(k) with company matching

Paid time off and parental leave

Short-term & long-term incentives

Job summary

Sensata Technologies, Inc. invites a Lead Data Scientist for Operations Research to drive optimization, forecasting, and decision modeling across Supply Chain, Procurement, and Engineering. This onsite role is based in Attleboro, MA.

The candidate will set data science standards for AI use cases, mentor teams, and collaborate with planners and leaders to improve inventory, service, and cost outcomes.

Qualifications

• 7+ years building optimization, ML, and statistical models for operational problems.
• Deep operations research expertise: linear/mixed-integer programming, inventory theory, scheduling, simulation.
• Hands-on experience with optimization solvers/frameworks: Gurobi, CPLEX, OR-Tools, Pyomo.
• Strong time-series forecasting skills; hierarchical and probabilistic methods with backtesting.
• Strong Python and SQL; comfortable with ERP/EDI/manufacturing data.
• Experience in manufacturing or distribution supply chains preferred.

Responsibilities

• Oversee development of innovative product solutions that drive customer value.
• Lead data science project teams by defining data needs and guiding model development.
• Advise on insights to address customer challenges.
• Identify data sources and design data collection processes.
• Analyze large datasets to surface trends and value-driven insights.
• Lead predictive modeling and algorithm development.
• Set standards for modeling, validation, and backtesting; coordinate with AI Platform/MLOps.

Skills

Operations research

Optimization modeling

Time-series forecasting

Python

SQL

Leadership

Communication

Education

Master's or PhD in OR/IE/Statistics

Tools

Gurobi

CPLEX

OR-Tools

Pyomo

Microsoft Office

Job description

Sensata Technologies, Inc. is hiring a Lead Data Scientist for Operations Research to help shape how operations leaders make inventory, planning, scheduling, and cost decisions. In this onsite role in Attleboro, MA, you will lead optimization, forecasting, and decision modeling efforts across Supply Chain and extend impact into Procurement and Engineering, while also establishing data science standards for operations AI use cases.

What you’ll do

• Oversee the development of innovative product solutions that continuously drive customer value
• Lead data science project teams by defining data needs and guiding model development
• Advise on insights to address customer challenges
• Identify valuable data sources and design efficient data collection processes
• Analyze large datasets to surface trends and value-driven insights
• Lead predictive modeling and algorithm development
• Oversee processes and tools used to assess model performance and data accuracy
• Communicate complex findings through data visualization and clear technical storytelling
• Lead the data science modeling approach across a range of operations use cases, including Supply Chain, from problem framing through production and adoption
• Build optimization models for inventory policy, multi-echelon safety stock, item segmentation, capacity and production planning, and lab/test scheduling
• Create 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 set expectations with agreed performance thresholds
• Set standards for modeling, validation, and backtesting, and define retraining and monitoring requirements with the AI Platform/MLOps team
• Work directly with planners, buyers, and business leaders to drive adoption and improve inventory, service, and cost outcomes
• Provide technical direction and mentoring to data scientists and AI engineers supporting operations use cases

Requirements

• University degree required (Bachelor’s degree) or equivalent relevant work experience
• 7+ years building optimization, ML, and statistical models for operational problems, with models deployed and in sustained use
• Deep operations research expertise, including linear and mixed-integer programming, constrained optimization, inventory theory, scheduling, and simulation
• Hands-on experience with optimization solvers and frameworks such as Gurobi, CPLEX, OR-Tools, and 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
• Experience in manufacturing, automotive, industrial, or distribution supply chains strongly preferred
• Ability to challenge and influence senior leaders and vendors with evidence
• Strong communication skills, including oral, written, and presentation abilities
• Strong organization, planning, and time management skills to deliver results in a fast-paced environment
• Strong personal and professional ethics and integrity, with self-accountability to goals and standards
• Strong interpersonal and collaboration skills across all organizational levels, including suppliers and/or external customers
• Proficiency in Microsoft Office (Outlook, Word, PowerPoint, Excel)
• Master’s or PhD in Operations Research, Industrial Engineering, Statistics, Applied Mathematics, or a related field preferred

Tools and technologies

• Microsoft Office (Outlook, Word, PowerPoint, Excel)
• Python, SQL
• Gurobi, CPLEX, OR-Tools, Pyomo
• AI Platform/MLOps

Location and salary

• Location: Attleboro, MA (onsite)
• Compensation: USD 119,600 - 164,450 per year

Benefits

• Competitive medical, dental, vision, life and disability insurance plans
• Education reimbursement
• Wellness programs
• 401(k) retirement plan with Company matching
• Paid time off, including vacation or flex-time, sick, bereavement, and parental leave
• Short-term incentive and long-term incentive programs (for certain positions)