Command Holdings

Data Scientist (TS/SCI req'd)

Command Holdings
US Tampa, FL, US
Onsite 2026-07-01
Estimated salary · Tampa
~ $75,500 - $131,200
Low
$75K
Median
$99K
High
$131K
Market in Tampa · BLS OEWS 2025
Estimated net pay
$5,162 - $8,412
/month · 18% withheld
after tax & contributions · on the estimated salary · Single, no dependents

Job description

WWC Global, an operating firm of Command Holdings, is seeking Data Scientists to support USSOCOM's mission to transform the SOF Enterprise into a decisive data\-centric organization by applying scientific methods, algorithms, processes, and systems to extract actionable insights and knowledge from both structured and unstructured data, enabling the full spectrum of analysis, including descriptive, diagnostic, predictive, and prescriptive analytics. The Data Scientist designs, implements, and maintains data pipelines, and interprets and analyzes complex data sets while planning, executing, and managing machine learning (ML) projects with cloud\-native platforms and advanced ML solutions. Responsibilities may include but are not limited to: * Collects, cleans, and prepares data, and applies AI/ML algorithms and visualization capabilities to enable problem\-solving across the SOF Enterprise. * Coordinates research and analytic activities utilizing various data points, both unstructured and structured, and employs programming to clean, massage, and organize the data. Experiments against data points, provides information based on experiment results, and provides previously undiscovered solutions to command data challenges. * Applies scientific methods, algorithms, processes, and visualization capabilities to extract actionable insights and knowledge from structured and unstructured data and uses and seamlessly integrates data into existing analytic tools. * Develops methods to consume and integrate data from various operational platforms to enable near real\-time analysis of operational situations and support command decision\-making. * Develops predictive and prescriptive modeling, natural language processing (NLP), Robotic Process Automation (RPA), text mining and processing, clustering, forecasting methods, and other advanced statistical techniques. The incumbent develops AI/ML algorithms and models, including those designed for NLP, Computer Vision, Large Lan

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