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Data Scientist, Operations Research

Job in Maryland Heights, St. Louis city, Missouri, 63043, USA
Listing for: TECHNOLOGY PARTNERS INC
Full Time position
Listed on 2026-02-16
Job specializations:
  • Software Development
    Data Scientist, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 65.1 - 93 USD Hourly USD 65.10 93.00 HOUR
Job Description & How to Apply Below
Location: Maryland Heights

Technology Partners is currently seeking a talented Data Scientist, Operations Research.

Do you have experience designing and implementing complex simulation and optimization models using Java or Python?

Let us help you make your next big career move a reality!

What You Will Be Doing

As an expert Data Scientist, you will collaborate with stakeholders to analyze business problems, define objectives, and deploy scalable solutions. You will be responsible for the entire lifecycle of mathematical models—from proof‑of‑concept to production—for real‑world manufacturing sites and operating facilities. This role requires a blend of high‑level mathematical modeling and robust software engineering to integrate agent‑based AI systems and automate complex problem‑solving tasks.

Key Responsibilities
  • Model Development
    :
    Design and implement complex simulation and optimization models for real‑world facilities using Java or Python.
  • System Integration
    :
    Integrate agent‑based AI systems with mathematical models to optimize workflows and automate tasks.
  • Verification & Validation
    :
    Perform rigorous V&V of mathematical models to ensure accuracy and reliability.
  • Strategic Analysis
    :
    Execute model‑based studies and scenario analyses to provide actionable business recommendations.
  • Data Integrity
    :
    Independently analyze model inputs and outputs to ensure performance and data integrity.
  • Framework Selection
    :
    Select and define development frameworks best suited to specific business requirements.
Required Skills & Experience
  • Education
    :
    PhD in Mathematics, Statistics, Industrial Engineering, Operations Research, or a related field (with statistics coursework); or a Master’s degree with at least 2 years of industry experience.
  • Technical Mastery
    :
    Strong fluency in Python or Java using object‑oriented programming to create complex production applications.
  • Modeling Expertise
    :
    Proven experience in the development of discrete event simulation or optimization models.
  • Data Wrangling
    :
    Working knowledge of SQL, Python pandas, or R.
  • Collaboration
    :
    Ability to work in a team environment with clear communication lines.
Desired Skills & Experience
  • Software Expertise
    :
    Experience with commercial simulation/optimization tools such as Arena, Any Logic, Gurobi, CPLEX, or Xpress.
  • Infrastructure
    :
    Working knowledge of Git/Git Hub and cloud platforms (GCP, AWS, or Azure).
  • Computer Science Fundamentals
    :
    Basic understanding of data structures and algorithm design.
Pay

$65.10 - $93.00 /hr.

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to provide sponsorship at this time or accept candidates who would require a corp‑to‑corp agreement.

If this position sounds like you,
WE SHOULD TALK!

Your better future is ready, and we want to put the right tools in your hands to get you there. Let's go!

Keywords

Data Scientist, Operations Research, Discrete Event Simulation, Optimization, Python, Java, Object‑Oriented Programming, SQL, Pandas, R, V&V, Agent‑Based AI

Looking for more opportunities with Technology Partners? Check out !

All offers of employment at Technology Partners are contingent upon clear results of a thorough background check and drug screening that meet corresponding laws and regulations at the city, state and federal level.

Pay ranges are influenced by candidate qualifications, experience, and role specifics, with the actual rate determined considering skills, market conditions, and are subject to change by the employer; pay negotiations follow all state and federal legal guidelines.

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