Operations Research Data Scientist

• Collaborate with stakeholders to analyze business problems, define objectives and constraints, and deploy scalable, sustainable solutions.
• Design and implement complex simulation and optimization models (using Java/Python) for real-world operating facilities and manufacturing sites, managing the lifecycle from proof-of-concept to production.
• Select and define development frameworks best suited to specific business requirements.

• Perform rigorous verification and validation (V&V) of mathematical models to ensure accuracy and reliability.
• Independently analyze model inputs and outputs to ensure data integrity and performance.
• Integrate agent-based AI systems with mathematical models to optimize workflows and automate complex problem-solving tasks
• Execute model-based studies and scenario analyses to provide actionable recommendations that drive business outcomes.

• Strong mastery in development of discrete event simulation or optimization models
• Strong fluency in Python/Java using object-oriented programming and creating complex production applications for data science models
• Working knowledge of data wrangling using SQL, Python pandas, or R
• Ability to work in a collaborative team environment maintaining clear line of communication with other team members

• Basic understanding of data structure and algorithm design.
• Expertise in one of commercial simulation/optimization software such as Arena/Anylogic/Gurobi/CPLEX/Xpress
• Working knowledge of Git/Git Hub and cloud platforms (GCP, AWS, or Azure)

• PhD in Mathematics, Statistics, Industrial Engineering, Operations Research, or a related field with statistics courses, or Master’s degree with 2 years of industry experience.

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US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.