Sr Operations Research / Systems Analyst

About This Role

This role will support the Test Resource Management Center’s (TRMC) Big Data (BD) and Knowledge Management (KM) Team by leveraging data science, machine learning, and operations research to analyze DoD Test & Evaluation data. The successful candidate will provide analytic consulting services, support workflow development, and drive data-driven decision-making.

Responsibilities

• Enable development of data-driven decision analysis products through application of data science, machine learning, and operations research methods.
• Utilize data mining and data analysis methods, access diverse data storage paradigms, and develop models using statistical and machine learning approaches.
• Provide analytic consulting services, supporting analytic workflow and product development and testing.
• Act as the primary point of contact for the CHEETAS Team, ensuring stakeholders have necessary analytical tools, data products, and reports.
• Collaborate with technical and non-technical stakeholders to identify analytic requirements and analysis questions.
• Communicate data-based insights effectively in written and presented form, both programmatically and technically.
• Provide technical support for CHEETAS and other tools, demonstrating them to stakeholders, conveying analysis results, and adapting tools to meet emerging needs.
• Gather use cases, requirements, gaps, and needs from stakeholders and provide them as feature requests or bug reports.
• Perform impromptu hands-on training sessions with end users and troubleshoot problems within closed networks.
• Work independently, using various methods and models to test the effectiveness of different courses of action.

Requirements

• Active TS/SCI security clearance
• Advanced degree in operations research, engineering, applied math, statistics, computer science or information technology
• 12+ years of experience within DoD (5-10 years considered case-by-case)
• Experience working with end users, gathering requirements, and refining/operating data analysis tools.
• Experience developing and interpreting results of analytic products with DoD specific data types.
• Experience using scripting languages (Python and R) to process, analyze and visualize data.
• Experience using notebooks (Jupyter Notebooks and RMarkdown) to create reproducible products.
• Experience using interactive visualization tools (RShiny, pyShiny, Dash).
• Experience generating and presenting reports, visualizations and findings to customers.
• Experience using analysis methods (supervised and unsupervised) with time series and geospatial data.
• Experience working with Windows, Linux, and containers.
• Experience querying databases using SQL.
• Ability to make insightful recommendations based on data-driven analysis and customer interactions.
• Ability to effectively communicate both orally and in writing.
• Ability to speak and present findings in front of large groups.
• Ability to document and repeat procedures.
• Ability to train novice end users on tool usage.
• Self-motivated to design, develop, enhance, reengineer or integrate software applications.

Qualifications

• An advanced degree in operations research, engineering, applied math, statistics, computer science or information technology
• 12+ years of experience within DoD (5-10 years may be considered)

Nice to Have

• 12+ years of DOD experience
• Experience as a military ORSA
• Experience working in government / defense labs and within their computing restrictions.
• Knowledge of military force structure and/or tactical messaging.
• Experience working with major DoD experimentation events (e.g., JADC2).
• Experience working with major DoD acquisition programs (e.g., JSF).
• Knowledge of Test and Training Enabling Architecture (TENA), Joint Mission Environment Testing Capability (JMETC) and distributed testing/training.
• Knowledge of DoD cybersecurity policies.

Skills

* Required skills