Jobright.ai: Operations Research Specialist - Associate - USA (Remote)

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About the job

Job Summary:

Micro1 is seeking an Operations Research Specialist to join their team remotely. The role focuses on leveraging expertise in operations research and C programming to develop advanced optimization solutions that enhance operational efficiency and support data-driven decision-making.

Responsibilities:

• Develop and implement mathematical and optimization models in C for solving complex operational challenges such as passenger itinerary optimization, logistics, and resource allocation.

• Analyze large datasets to uncover inefficiencies and deliver actionable, evidence-based recommendations for process improvement.

• Design, validate, and test algorithms and simulation models using robust computational and statistical methods.

• Collaborate closely with business leaders and stakeholders to understand objectives, gather requirements, and translate goals into effective optimization projects.

• Prepare clear, concise reports and presentations to communicate findings, model results, and recommendations to both technical and non-technical audiences.

• Stay current with developments in optimization methodologies and C programming best practices, continuously enhancing analytical models and tools.

Qualifications:

Required:

• Bachelor’s or Master’s degree in Operations Research, Computer Science, Applied Mathematics, or a related field.

• 4–6 years of professional experience in operations research, modeling, or optimization roles.

• Strong proficiency in C programming for the development of mathematical and optimization models.

• Demonstrated ability to analyze large, complex datasets and distill actionable insights.

• Exceptional written and verbal communication skills, with a strong focus on clarity and stakeholder engagement.

• Ability to work independently in a remote, part-time capacity while proactively collaborating with a diverse team.

Preferred:

• Experience in transportation, logistics, or resource allocation optimization within a dynamic business environment.

• Proficiency in additional programming languages or optimization tools (e.g., Python, Gurobi, CPLEX).

• Published research or practical solutions in the field of operations research.

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