**Candidates must currently be located in either Charlotte, Denver, or New York City and be open to a 2 day onsite hybrid schedule to be considered for this role.
Position Overview: We are seeking a talented Operations Research Data Scientist with a strong background in optimization to join our dynamic team. The ideal candidate will have hands-on experience with optimization tools such as CPLEX or Gurobi and a passion for solving complex problems using data-driven approaches.
Qualifications:
- Master’s or Ph.D. degree in Operations Research, Data Science, Mathematics, Statistics, Engineering, or a related field.
- Proven experience with optimization software such as CPLEX or Gurobi.
- Strong programming skills in languages such as Python, R, or MATLAB, with the ability to write efficient and maintainable code.
- Demonstrated experience in formulating and solving optimization problems, including linear programming, integer programming, and mixed-integer programming.
- Solid understanding of data analysis, statistical methods, and machine learning techniques.
- Excellent problem-solving skills with the ability to think critically and work independently.
- Strong communication skills, with the ability to present complex technical information to non-technical stakeholders.
Key Responsibilities:
- Develop and implement optimization models to solve complex business problems, including but not limited to resource allocation, scheduling, supply chain management, and logistics.
- Utilize CPLEX or Gurobi to formulate, solve, and analyze large-scale optimization problems.
- Conduct data analysis to identify trends, patterns, and insights that can inform optimization models and strategies.
- Collaborate with cross-functional teams, including data engineers, product managers, and domain experts, to understand business needs and translate them into mathematical models.
- Design and execute experiments to validate and refine optimization models, ensuring they meet business requirements and deliver actionable results.
- Communicate findings and recommendations effectively to stakeholders through reports, presentations, and visualizations.
- Stay updated with the latest developments in optimization techniques and tools to continuously enhance the capabilities of the team.