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Data Scientist - TS/SCI FSP Required with Security Clearance

KRYPTAURIColumbia, MD🇺🇸United StatesPosted 27 Jul 2026

Why This Role Stands Out

This hybrid role offers a unique opportunity to leverage your advanced data science skills in a mission-critical environment, blending impactful technical development with clear communication and documentation. You'll thrive here if you're a mid-senior professional with a strong background in machine learning and algorithm design, eager to solve complex problems and contribute to significant initiatives. Embrace this chance to grow your expertise and make a tangible difference within a reputable organization.

Quick Overview

Seniority
Mid Senior
Employment type
Employee
Work mode
Hybrid
Location
Columbia, MD, United States
Posted
6 weeks ago
Machine LearningPythonZero Trust

Job Description

Data Scientist We’re looking for a versatile Data Scientist who thrives in dual roles — one where high-impact technical development meets rigorous documentation and reporting. This position blends deep analytical problem solving with strong technical writing responsibilities to support mission-critical data initiatives. If you’re energized by working with massive datasets, uncovering patterns through machine learning, and clearly communicating your findings, this is a role where you’ll make a difference. Experience with Zero Trust architectures is a strong plus, especially if you’ve applied data science in support of cyber or access control strategies.

Key Responsibilities - Solve practical problems by developing and tuning algorithms that work with live or historical data.

  • Build models that are both technically sound and operationally relevant.
  • Maintain and evolve analytic tools and dashboards with consistent documentation.
  • Contribute heavily to technical documentation, including methods, usage instructions, and analytic reports.
  • Communicate complex data findings clearly to both technical and non-technical audiences.

Required Skills & Experience - 10 years of experience with a Bachelor’s in a technical field, preferably Mathematics - Strong background in data modeling, machine learning, and algorithm design.

  • Proficient in manipulating large datasets and conducting big data analytics.
  • Experience in exploratory data analysis, data validation, and model refinement.
  • Familiarity with AI/ML frameworks and real-world application of machine learning solutions.
  • Demonstrated skill in anomaly detection, trend analysis, and pattern discovery.
  • Proficiency in a major programming language such as Python or R.
  • Excellent technical writing and documentation skills — this is a significant component of the role.

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