Data Scientist - Operations Research

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

Not verified checked Jun 13, 2026

Salary

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401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Data Scientist - Operations Research 3 Locations What You'll Do You will lead production scheduling automation and optimization project Mathematical Modelling: You will develop mathematical models and algorithms to solve optimization problems. Formulate problems as linear programming, integer programming, mixed-integer programming, or constraint programming models. Data Analysis: You will work with large datasets, conduct exploratory data analysis, and apply statistical and machine learning techniques to extract valuable insights. Identify patterns and trends in the data that can be used to improve optimization models and algorithms. Model Implementation: You will implement mathematical models and algorithms using programming languages such as Python. Develop efficient and scalable code to solve complex optimization problems. Simulation: You will develop and run simulation models to evaluate different scheduling strategies and their impact on manufacturing efficiency Performance Evaluation: You will evaluate the performance of optimization models and algorithms by conducting experiments and simulations. Identify areas for improvement and propose modifications to enhance efficiency and effectiveness. Collaboration and Communication: You will collaborate with cross-functional teams, including data engineers, software developers, and business stakeholders, to understand their requirements and translate them into actionable OR solutions. Communicate findings, insights, and recommendations to both technical and non-technical audiences effectively. You will provide operations research algorithm expertise in other Supply Chain & Operations projects You will also Inventory Management, including multi-echelon inventory optimization and probabilistic based inventory strategy. You will provide operations research algorithm expertise in other Supply Chain & Operations projects You will be responsible for Inventory Management, including multi-echelon inventory

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