Lead Data Scientist, Operations Research

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

Benefits offered by this job

Medical, dental, vision insurance

Life and disability insurance

Education reimbursement

401(k) with company match

Paid time off

Job summary

Sensata Technologies seeks a Lead Data Scientist, Operations Research in Attleboro, MA to lead optimization, forecasting, and decision modeling for Supply Chain, Procurement and Engineering. You will transform complex inventory, planning, scheduling and cost problems into production models with enterprise impact.

You will set data science standards for operations AI, mentor teams, and partner with buyers, planners and leaders to drive measurable improvements in service and cost.

Qualifications

• A university degree is required or equivalent experience; advanced degrees preferred.
• Ability to work in a fast-paced environment with multiple tasks and deadlines.
• Excellent communication and presentation skills; strong organization and planning.

Responsibilities

• Lead data science modeling for optimization, forecasting, and decision support across supply chain and beyond.
• Develop and deploy production optimization models (inventory, scheduling, capacity).
• Collaborate with planners, buyers, engineers; mentor other data scientists and AI engineers.
• Define data requirements, validate models, backtest, and monitor performance.

Skills

Communication skills

Time management

Microsoft Office

Python

SQL

Collaboration

Leadership

Education

Bachelor's degree or equivalent

Master's or PhD in OR/Operations Research or related field (preferred)

Tools

Gurobi

CPLEX

OR-Tools

Pyomo

Job description

## Lead Data Scientist, Operations ResearchApply: Attleboro, Massachusetts: Full time: Posted Today: IRC98615The 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.#LI-JL1 **Base Salary Range:**$119,600.00 - $164,450.00 *At Sensata, our employees are the key to our success and growth. We recognize that each individual brings their own unique experience, therefore the base salary range information shown above is a general guideline only. Sensata considers several factors when extending an offer, including, but not limited to, a candidate’s experience and qualifications, as well as internal equity, market and business considerations. In addition to base salary, Sensata offers competitive medical, dental, vision, life and disability insurance plans, along with education reimbursement, wellness programs, a 401(k) retirement plan with Company matching, and a variety of paid time off, such as vacation or flex-time, sick, bereavement, and parental leave. Certain positions are also eligible for short-term incentive and long-term incentive programs.*