Data Scientist - TS/SCI FSP Required

Kryptauri, Inc.
Columbia, MD, United States
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Algorithm Design Business Analytics Applications Data Analysis Big Data Data Validation Python (Programming Language) Machine Learning Tensorflow Zero Trust Network Access Programming Languages

Job description

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., 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.

Requirements

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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