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Data Scientist​/Project Manager

Job in Augusta, Richmond County, Georgia, 30910, USA
Listing for: Peraton
Full Time position
Listed on 2026-05-31
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Data Scientist / Project Manager

Required Qualifications

  • 12 years of experience, with supervisory or management experience
  • Proficiency in Python for data engineering, analytics, and automation (scripting, packages, Jupyter environments)
  • Hands‑on experience with Machine Learning frameworks and NLP techniques
  • Experience with cloud platforms — AWS Gov Cloud, Microsoft Azure, and/or Google Cloud
  • Familiarity with big data platforms and tools (e.g., Spark, Kafka, Hadoop, or equivalent)
  • Experience with data visualization tools (Power BI, Tableau, or equivalent)
  • Demonstrated experience managing cost, schedule, and technical performance on DoD task orders
  • Experience with Agile/Scrum methodologies and tools (e.g., Jira)
  • Familiarity with DoD data governance frameworks, RMF, and CSSP requirements
  • Active TS clearance with ability to obtain/maintain SCI, Polygraph and MEAD
  • U.S. Citizenship required.
Preferred Qualifications
  • Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related technical field; a Master's degree in a relevant technical or analytical field is highly desirable
  • 10+ years of relevant experience, including at least 3 years in a technical program or project management role on DoD contracts
  • Experience supporting ARCYBER, USCYBERCOM, or Army cyber mission partners
  • Familiarity with Gabriel Nimbus (GN), IONIC, ALEX, or the Army Big Data Platform (BDP)
  • Knowledge of MITRE ATT&CK framework and its application to defensive cyber analytics
  • Experience with JCWA platforms (Unified Platform, JCC2, JCHK, PCTE)
  • PMP, DAU Program Management, or equivalent certification
  • Experience with DoD data strategy frameworks (VAULTIS, DoD Data Strategy 2020)
  • Prior experience leading proposals and winning follow‑on business in the DoD cyber domain

Peraton is seeking an experienced Data Scientist / Project Manager to lead a high‑performing team of engineers, data scientists, and analysts in direct support of U.S. Army Cyber Command's (ARCYBER) Data Management and Analytics Directorate (DMA). This is a dual‑hat leadership role requiring both deep technical expertise in data science and the program management acumen to deliver results on a complex, multi‑functional task order.

Location:

Fort Gordon, GA.

You will serve as the technical and operational lead for the DMA support team, driving the acquisition, curation, analysis, and visualization of data that enables Army and Joint commanders to make informed, data‑driven decisions. Your team's work directly supports ARCYBER's mission to achieve analytic superiority and information advantage across the DoWIN‑A enterprise. This role is ideal for a technically grounded leader who thrives at the intersection of data engineering, advanced analytics, and mission‑focused program execution in a classified DoW environment.

Technical

Leadership
  • Lead a team of engineers, data scientists, and analysts in the design, development, and delivery of data products and analytic capabilities in support of ARCYBER operations.
  • Build, maintain, and optimize Python scripts and packages used by data analysts across the DMA team, establishing reusable frameworks and coding standards.
  • Curate and develop a solid data foundation — both structured and unstructured — in close coordination with the government client, ensuring data is Visible, Accessible, Understandable, Linked, Trustworthy, Interoperable, and Secure (VAULTIS).
  • Process modeling data and perform robust analytics to support operational and strategic decision‑making for Army and Joint organizational elements.
  • Apply online experimentation, Machine Learning (ML), natural language processing (NLP), and dynamic network analysis to develop personalized, mission‑relevant data products.
  • Oversee integration of analytics and visualizations into the Army's Big Data Platform (BDP), Gabriel Nimbus, and related platforms (AWS Gov Cloud, Microsoft Azure, Google Cloud).
  • Provide architectural oversight to ensure DMA data products, pipelines, and cloud environments align with DoD and Army reference architectures and enterprise data standards.
Program Management
  • Serve as the accountable program manager for the successful technical, schedule, and cost performance of the DMA…
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