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
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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