Recently postedTechnology

Data Scientist with Security Clearance

ALKUTampa, FL🇺🇸United States

Why this role stands out

This on-site Data Scientist role offers a unique opportunity to leverage your advanced analytics and operations research skills to directly impact critical combatant command operations, with significant potential for leadership and innovation in AI/ML. You'll thrive here if you are a mid-senior professional with a TS/SCI clearance, eager to develop cutting-edge solutions and drive data-informed decision-making within a vital national security mission. Apply now to contribute your expertise to impactful projects and advance your career in a dynamic environment.

Quick overview

SeniorityMid Senior

Work modeOn Site

LocationTampa, FL, United States

PythonMachine LearningMaven

Job description

Data Scientist/Operations Research Analyst
Candidate must have a TS/SCI clearance.

Program Description: We are ready to hire a Data Scientist/Operations Research Analyst to provide data science (DS) and operations research (OR) capabilities on-site for a combatant command Operation Assessment Division Day to Day Responsibilities:
Design, develop, and apply a variety of data collection and decision analytics processes and applications, including the employment of mathematical, statistical, and other analytic methods.

Identify effective, efficient, and innovative technical solutions for meeting Division data and automation requirements, including potential artificial intelligence (AI) and machine learning (ML) solutions. Develop automated applications, data visualizations, information displays, decision briefings, analytic papers, and facilitate senior leadership decisions with analytic products. Identify and develop data stream interfaces for authoritative data sources to support assessments and risk analysis.

Integrate Division functions and products into the Command and Control of the Information Environment (C2IE) system, MAVEN Smart Systems, and/or Advana. Build digital solutions using programming applications (e.g., R, R/Shiny, Python) to digitalize and partially or fully automate data collection, analysis, and staff processes while accelerating the rate at which the Division can execute tasks. Develop and lead small teams in the development of real-time/near real-time data visualization and analysis methodologies and analytic tools.

Participate in client operational planning processes in support of Joint planning. Support Knowledge Management and Information processes requirements.