Lead Data Scientist, Operations Research
Sensata Technologies
About the role
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.
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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.
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Employees work across functions, countries and cultures gaining new perspectives through mutual respect and open communication
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Responsibilities
- Lead operations data science modeling from problem framing through production deployment and adoption.
- Build optimization models for inventory, capacity, production planning, scheduling, and procurement analytics.
- Develop demand forecasting and signal-reliability models.
- Set standards for model validation, backtesting, retraining, and monitoring.
- Partner with business leaders and operational teams to drive adoption and improve inventory, service, and cost outcomes.
- Provide technical direction and mentoring to data scientists and AI engineers.
Qualifications
- Bachelor's degree or equivalent relevant work experience; a master's or PhD in a related field is preferred.
- 7+ years building optimization, machine learning, and statistical models for operational problems, with models deployed and in sustained use.
- Expertise in operations research, including linear and mixed-integer programming, constrained optimization, inventory theory, scheduling, and simulation.
- Experience with optimization tools such as Gurobi, CPLEX, OR-Tools, or Pyomo.
- Strong time-series forecasting skills, including hierarchical and probabilistic methods and rigorous backtesting.
- Strong Python and SQL skills and experience with ERP, EDI, or manufacturing data.
- Manufacturing, automotive, industrial, or distribution supply chain experience preferred.
- Strong communication, collaboration, organization, and time-management skills.
Benefits
- Medical, dental, vision, life, and disability insurance
- Education reimbursement
- Wellness programs
- 401(k) plan with company matching
- Paid vacation or flex-time, sick, bereavement, and parental leave
- Short-term and long-term incentive programs for eligible positions
Skills mentioned
About Sensata Technologies
Sensata Technologies (NYSE: ST) is a global industrial technology company with more than 100 years of experience in mission-critical design and innovation of sensor-rich solutions that help customers solve difficult challenges in the automotive, aircraft, industrial, heavy vehicle, off-road, HVAC and marine industries. With more than 16,000 employees and operations in 13 countries, Sensata’s solutions help to make products safer, cleaner, more efficient, and electrified. Note to applicants for positions in the United States: Sensata is an Equal Employment Opportunity (EEO) / Affirmative Action (AA) /Minorities/Females/Protected Veterans/Disabled Employer.
H-1B sponsorship history
Historical employer filing data was found for Sensata Technologies. The employer record includes 137 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.