Readiness & Fleet Analytics Division Analytics Support (PSMI) (C)
Past New Requirement Updated
- Agency
-
Navy NAVAIR Naval Air Warfare Center Aircraft Division Patuxent River
Naval Air Warfare Center, Department of Defense
- Solicitation expected
- Not on record
- Estimated value
- $7,500,000 to $50,000,000
- Set-aside
- No set-aside
Forecast facts
- Anticipated award
- Through
- NAICS code
- Not on record
- Place of performance
- Pax River, MD
- Forecast number
- N00421-26-RFPREQ-AB33000-0027
Forecast details come from the Navy's Long Range Acquisition Estimates. Agencies' dates and values are estimates.
About this forecast
Naval Air Systems Command is procuring analytics, data science, data engineering, and analytical support services to enhance the development, deployment, and sustainment of data-driven solutions across the Readiness and Fleet Analytics Division product teams by October 1, 2026. The requirement calls for skilled personnel to support the full life cycle of data science initiatives, including data analysis, machine learning, artificial intelligence, data engineering, and visualization, serving multiple functional leads including product managers, data science team leads, software engineering teams, and other stakeholders involved in data product development and delivery. Personnel must hold Secret clearances.
The award value is estimated between $7.5 million and $50 million for a 60-month period of performance. Work will be performed at Naval Air Warfare Center Aircraft Division in Patuxent River, Maryland (47123 Buse Rd #540, Patuxent River, MD 20670). This is a delivery order or task order procurement under the Naval Air Systems Command contracting office (N00421 – NAWCAD PAX), falling under PSC R425 (Support – Professional: Engineering/Technical).
Forecast text
Provide analytics, data/computer science, data engineering, and analytical support services to enhance the development, deployment, and sustainment of data-driven solutions across the Readiness and Fleet Analytics Division product teams. Provide skilled personnel to support the life cycle of data science initiatives, including data analysis, machine learning, artificial intelligence, data engineering, and visualization. These services will support multiple functional leads, including product managers, data science team leads, software engineering teams, and other stakeholders involved in the development and delivery of data products.
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