Operations Research Analyst

We are currently seeking an Operations Research Analyst to join our team at Fort Meade, MD. As a cornerstone of strategic decision-making, an Operations Research Analyst leverages advanced analytical and mathematical expertise to optimize organizational processes and solve complex problems. In this role, you will collaborate with diverse teams to dissect intricate issues, forecast outcomes, and implement data-driven solutions that enhance efficiency and productivity. Our ideal candidate possesses a strong aptitude for quantitative analysis, critical thinking, and innovative problem-solving, combined with proficient communication skills to convey technical information effectively to stakeholders. Primary Responsibilities Develop and apply probability models, statistical inference, simulations, optimization, data analysis, data visualization, and implement mathematical models to solve operational problems. Introduce quantitative and qualitative analysis, data analytics, and data science to military decision-making processes. Conduct analysis, assessments, and determine progress of Agency directives by developing measures of performance and measures of effectiveness. Analyze data to identify trends, patterns, and insights. Collaborate with cross-functional teams to gather and interpret data. Create simulations and predictive models to forecast future outcomes. Optimize resource allocation and logistical processes. Conduct cost-benefit analysis to evaluate project feasibility. Prepare and present reports to communicate analytical results and recommendations. Use statistical software and programming languages to perform analyses. Monitor the effectiveness of implemented solutions and recommend improvements. Stay updated with the latest industry trends and analytical techniques. Basic Qualifications Active TS/SCI security clearance Bachelor's degree and 12+ years’ experience or Master’s degree and 10+ years’ experience in Operations Research, Mathematics, Statistics, Computer Science, or a related field. Experience with specialized software such as MATLAB, SAS, or R. Familiarity with machine learning techniques and data mining. Experience with data analysis and statistical software. Strong analytical and problem-solving skills. Ability to work collaboratively in a team environment. Excellent written and verbal communication skills. Original Posting: July 29, 2026 Pay Range Pay Range $131,300.00 - $237,350.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. #J-18808-Ljbffr