Lead Data Scientist, Operations Research

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

The Lead Data Scientist, Operations Research leads optimization, forecasting and decision modeling for Sensata's operations, starting with Supply Chain and extending to Procurement and Engineering. The role turns complex problems in inventory, planning, scheduling and cost into production models that change how planners, buyers and engineers make decisions. It also sets the data science standards for operations AI use cases. The role also supports enterprise data science needs as priorities arise.

General Responsibilities

• Oversees developing innovative product solutions to continuously drive value for the customer
• Leads development project teams by defining data needs
• Advises on insights to customer challenges
• Identify valuable data sources and efficient collection processes
• Analyze large data sets to discover trends and value driven insights
• Leads predictive models and algorithms
• Oversees development processes and tools to analyze model performance and data accuracy
• Communicate complex findings and ideas using data visualization techniques

Experience / Qualifications

• A university degree required (i.e. Bachelors degree) or equivalent relevant work experience.
• Must be a team player able to work in a fast-paced environment with demonstrated ability to handle multiple competing tasks and demands
• Strong communication skills; oral, written and presentation
• Strong organization, planning and time management skills to achieve results
• Strong personal and professional ethical values and integrity
• Holds self-accountable to achieving goals and standards
• Proficient in Microsoft Office programs (Outlook, Word, PowerPoint, and Excel)
• Strong interpersonal & collaboration skills to work effectively with all levels of the organization including suppliers and/or external customers

Additional 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.

Additional 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.
• Experience in manufacturing, automotive, industrial or distribution supply chains strongly preferred.
• Able to challenge and influence senior leaders and vendors with evidence.
• Master's or PhD in Operations Research, Industrial Engineering, Statistics, Applied Mathematics or a related field preferred.

Base Salary Range:

$119,600.00 - $164,450.00

Smarter Together

Collaborating at Sensata means working with some of the world's most talented people in an enriching environment that is constantly pushing towards the next best thing

Employees work across functions, countries and cultures gaining new perspectives through mutual respect and open communication

As OneSensata , we are working together to make things work together