ECS is seeking an Operations Research Analyst to work in our Lanham, MD office. Please Note:
This position is contingent upon contract award.
We are seeking a highly skilled Operations Research Analyst to join our team. In this role, you will be responsible for formulating and applying mathematical models and optimization methods to develop actionable insights that assist management in decision-making, policy formulation, and strategic planning. Your work will directly impact various managerial functions by providing data-driven solutions to complex problems across the organization. The ideal candidate will have strong experience in data analysis, optimization techniques, and the development of decision support tools.
Responsibilities:
• Develop and apply mathematical models, statistical techniques, and optimization methods to solve complex problems and support strategic decision-making across the organization.
• Collect and analyze large datasets to extract meaningful insights that drive operational improvements and inform key decisions.
• Design and develop software or services to support decision-making processes, improve operational efficiency, and streamline business processes.
• Collaborate with other departments to identify operational challenges and provide data-driven solutions for business optimization.
Salary Range:
$145,000 - $160,000
General Description of Benefits
• 10+ years of experience as an operations research analyst or a related role with a focus on mathematical modeling, optimization, and data analysis.
• Strong knowledge of mathematical modeling techniques, linear programming, optimization algorithms, and statistical analysis methods.
• Experience in developing or managing decision support systems, business intelligence tools, or optimization software.
• Excellent problem-solving skills, with the ability to break down complex problems into manageable components and develop solutions that improve efficiency and decision-making.
• Strong attention to detail with an ability to identify trends, anomalies, and areas for improvement in data.
Education:
Masters Degree
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