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Data Scientist - TS/SCI FSP Required
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Based on Maryland data
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What they do
A Data Scientist utilizes skills and experience to systematically answer questions using data to provide actionable recommendations. Commonly utilizes advanced statistical analysis and machine learning techniques. Common responsibilities also include data cleaning and data management.
$105,701 / year median in Maryland
+24% projected growth
Job Description
Data Scientist•
Key Responsibilities
TS/SCI FSP
Required Data ScientistWe're looking for a versatile Data Scientist who thrives in dual roles — one w 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 w 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.