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. #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. 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 Click here to view Sensata Recruitment Privacy Statement Click here to view our Sensata Recruitment Privacy Statement for China NOTE: If you are a current Sensata employee (or one of our Affiliates), please back out of this application and log into Workday via the Company Intranet to apply directly. Type FIND JOBS in the Workday search bar.

Requirements

Must-haves

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
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.

Nice-to-haves

Experience in manufacturing, automotive, industrial or distribution supply chains strongly preferred.
Master s or PhD in Operations Research, Industrial Engineering, Statistics, Applied Mathematics or a related field preferred.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave

Wellness