Data Scientist

• 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.

• R, SAS, MATLAB (core requirement)
• Python (highly recommended for machine learning and data science tasks)

Data Mining & Machine Learning:

• Experience with algorithms for classification, clustering, regression
• Familiarity with libraries like scikit-learn, TensorFlow (if Python is used)

Working with Large Datasets:

• Knowledge of database querying (SQL)
• Handling structured and unstructured data efficiently

Visualization Tools:

• Power BI (required for reporting)
• Optional: Tableau or Python visualization libraries (Matplotlib, Seaborn), * Active TS/SCI security clearance to start
• Bachelor’s degree and 8-12 years experience or Master s degree and 6-10 years experience in Operations Research, Mathematics, Statistics, Computer Science, or a related field.
• Experience with specialized software such as MATLAB, SQL, SAS, Python, GitHub, R or Tableau.
• Familiarity with machine learning techniques and data mining.
• Experience with data analysis and statistical software.

Nice to Have

• Experience using Palantir
• Experience applying AI to analyze large datasets

Day-To-Day:

We are looking for an Operations Research Analyst to join the team at Fort Meade, MD. In this role, the candidate will apply advanced analytical, mathematical, and statistical techniques to solve complex operational challenges and optimize organizational processes. Responsibilities include developing probability models, simulations, and predictive analytics; conducting quantitative and qualitative assessments; and creating data-driven solutions to support military decision-making. The candidate will collaborate with cross-functional teams, analyze trends, forecast outcomes, and present actionable insights to stakeholders. The ideal candidate demonstrates strong quantitative skills, critical thinking, and proficiency in statistical software and programming, with the ability to communicate technical findings clearly and effectively.