KRYPTAURI
Data Scientists - National Security Impact
Company
Role
Data Scientists - National Security Impact
Location
Job type
Full-time
Posted
21 hours ago
Salary
Job description
DATA SCIENTIST - MULTIPLE LEVELS An ACTIVE TS/SCI clearance with valid polygraph is REQUIRED for this position.
Your Mission Step into the world of advanced analytics as a Data Scientist. You'll leverage AI/ML expertise to impact and assess large datasets, driving innovation in data modeling, computational mathematics, and predictive analytics. Your work will directly support mission-critical operations through advanced statistical modeling, automated workflows, and strategic insights derived from complex data.
What You'll Do
- Develop and deploy AI/ML models for large-scale datasets.
- Perform advanced statistical and predictive modeling.
- Execute large-scale data processing using tools like Spark and cloud platforms.
- Create data visualizations with Tableau, Power BI, or Python libraries.
- Build automated analytics workflows to streamline processes.
- Translate mission needs into technical requirements and actionable insights.
- Collaborate with analysts and operators to identify problems and implement solutions.
- Provide recommendations on technical solutions while maintaining awareness of
- NSA/CSS capabilities and limitations. What You Bring Core Expertise:
- AI/ML model development and deployment.
- Data modeling, computational mathematics, and quantitative/qualitative techniques.
- Programming proficiency in Python and SQL.
- Statistical analysis (variability, inference, hypothesis testing, EDA, linear models).
- Data management (cleaning, transformation), data mining, and assessment.
- Experience with automated workflows and CI/CD environments. Preferred Experience:
- Familiarity with Target knowledge or experience.
- Strong collaboration and communication skills.
- Experience deploying open-source tools and working with observability frameworks. Education & Experience
- Degree in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine
- Learning, Data Science, Operations Research, or Computer Science.