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Lead Data Scientist, Operations Research

Sensata Technologies, Inc.

Attleboro, MAFull-time$120–164K/yrSeen 1w agoSeen in employer's feed 3 days ago

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At a glance

Compensation
$120–164K/yr
Location
Attleboro, MA
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Lead Data Scientist, Operations Research leads optimization, forecasting, and decision modeling for Sensata’s operations, initially focused on Supply Chain and extending to Procurement and Engineering. The role develops production models for inventory, planning, scheduling, and cost decisions, establishes standards for operations AI use cases, and supports enterprise data science priorities. It also provides technical direction and mentoring to data scientists and AI engineers.

Skills & qualifications

RequiredNice to have

Skills

TeamworkMultitaskingCommunicationOrganizationPlanningTime ManagementEthical IntegrityMicrosoft OfficeInterpersonal SkillsCollaborationOptimization ModelingMachine LearningStatistical ModelingLinear ProgrammingMixed-Integer ProgrammingConstrained OptimizationInventory TheorySchedulingSimulationOptimization SolversTime-Series ForecastingHierarchical ForecastingProbabilistic ForecastingBacktestingPythonSQLERP DataEDI DataManufacturing DataInfluencing

Qualifications

University Degree or Equivalent Experience7+ Years Modeling ExperienceMaster's or PhD in Related Field

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
Tuition Assistance
401(k) Match
Paid Time Off
Parental Leave

Full job description

Attleboro, Massachusetts

Full time

IRC98615

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

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Click here to view our Sensata Recruitment Privacy Statement for China (https://www.sensata.com/sites/default/files/a/sensata\_china\_recruitment\_privacy\_policy.pdf)

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Sensing is what we do.

In fact, our name Sensata comes from the Latin word sensate for ‘those gifted with sense’. Our focus on sensing is also reflected in our logo, which spells Sensata in Braille.

Sensata Technologies is a global industrial technology company striving to create a safer, cleaner, more efficient and electrified world. Through its broad portfolio of mission-critical sensors, electrical protection components and sensor-rich solutions, Sensata helps its customers address increasingly complex engineering and operating performance requirements. With more than 18,000 employees and global operations in 13 countries, Sensata serves customers in the automotive, heavy vehicle & off-road, industrial, and aerospace markets.

Note to applicants for positions in the United States:

If you are an individual who requires a reasonable accommodation in connection with the hiring process and/or to perform the essential functions of the position for which you applied, please make a request to the recruiter or contact [email protected]

Diversity Statement

We are dedicated to ensuring our employees feel a sense of belonging (https://www.sensata.com/sites/default/files/a/Sensata%20DEI%20Policy%20FINAL.pdf) and respect every day. We believe that every individual has unique insights that others can learn from. Working at Sensata means you can bring your whole self to the table. Our goal is to achieve fair representation of women, minorities, veterans, people with disabilities, and all types of diversity among all levels in our organization.

Note to applicants for positions in the United States:

Sensata Technologies, Inc. (US) is proud to be an Equal Opportunity and Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, protected veteran status, disability or any other basis protected by federal, state or local law.

View The EEO is the Law poster https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm and its supplement https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm

Sensata Technologies, Inc. (US) participates in E-Verify. View the E-Verify posters https://www.e-verify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf

How this job compares

Set against the 4,931 open Data Scientist jobs on Olive Jobs, counted October 27, 2026.

Pay
  • This posting$120–164K/yr
  • Massachusetts median$124–195K/yr117 salary ranges
  • US median$133–215K/yr3,922 salary ranges

This range's midpoint, $142K, is 14% below the Massachusetts median midpoint ($165K) — in the middle half of Data Scientist salary ranges in Massachusetts.

Openings
Olive Jobs lists 139 open Data Scientist jobs in Massachusetts and 4,931 across the US. 5% of them nationwide are listed as remote or flexible.
Hiring the most in Massachusetts
Experience
This posting asks for at least 7 years of experience — more than three in four Data Scientist postings that state a minimum ask for (median 5 years, across 4,239 postings).
Education
2,823 of the 4,931 open Data Scientist jobs (57%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 27, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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