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Data Scientist (Hybrid) with Security Clearance

22nd Century Technologies, Inc.Charlottesville, VA🇺🇸United StatesPosted Oct 20, 2026

Why this role stands out

This hybrid Data Scientist role offers a fantastic opportunity to leverage cutting-edge AI/ML techniques in a mission-critical environment, fostering significant career growth and skill development within a reputable organization. You'll thrive here if you possess strong analytical abilities, a passion for data-driven insights, and experience with advanced statistical modeling and programming languages, all while enjoying the flexibility of a hybrid work arrangement. Apply today to contribute your expertise to impactful projects and advance your career!

Quick overview

SeniorityMid Senior
Employment typeEmployee
Work modeHybrid
LocationCharlottesville, VA, United States
Posted3 days ago
SQLScalaTableauPythonPostgreSQLMachine LearningPower BIData Analysis

Job description

Tite: Data Scientist Client: Defense Intelligence Threat Library (DITL)- DIA
Location: Charlottesville, VA (Hybrid) Responsibilities:
Conducts data analysis, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual, and verbal narrative products; designs and implements data storage using relational and nonrelational databases, writes scripts to cleanse and optimally transform data for its intended use, creates AI/ML-based tools that enhance analyses and automate processes, integrates Al tools/capabilities into software development applications, evaluates and communicates risks associated with AI/ML implementations.

Requirements

  • Bachelor's degree in data science, computer science, statistics, mathematics, engineering, or related field
  • 3+ years of Data Scientist experience supporting software development, analytics, or mission focused systems
  • Experience applying statistical modelling, machine learning, and data mining techniques to real world datasets, demonstrating proficiency in Python, R, or Scala
  • Experience building data models and analytic capabilities that integrate into production software systems
  • Experience supporting the DoD, the intelligence community, or other federal agency programs
  • Familiarity with data visualization tools such as Tableau or Power BI
  • Strong background in SQL and experience with PostgreSQL and Elasticsearch Working knowledge of cloud- based data environments • Certified in machine learning, data analytics, or cloud platforms • IAT Level II or III certified
  • Active Top Secret clearance

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