Yesterday
Intel Agency (NSA, CIA, FBI, etc)
Senior Level Career (10+ yrs experience)
Full Scope Polygraph
IT - Data Science
Columbia, MD (On-Site/Office)
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.
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.
group id: 10272000
