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Data Scientist; NH

Job in Glen Burnie, Anne Arundel County, Maryland, 21060, USA
Listing for: legato
Full Time position
Listed on 2026-07-09
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, Data Engineering, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 210000 - 230000 USD Yearly USD 210000.00 230000.00 YEAR
Job Description & How to Apply Below
Position: Data Scientist (NH-3)

Data Scientist – Hanover, MD

Security

Clearance Required:

TS/SCI with Polygraph.

Salary Range: $210,000 – $230,000, depending on experience.

What You Will Do:

The Data Scientist will develop capabilities to shift from the current manual system security evaluation and authorization process to a new model that emphasizes automation, streamlined processes and approvals, continuous assessment and network data gathering across the entire lifecycle of a project. They will leverage Python as a primary language to process data to accurately determine if resources and systems are secure.

Look for outliers to help track the progress of systems through the Risk Management Framework lifecycle. Identify which System a Resource belongs to by examining attributes of the identified lost Resource against known potential System information. Design, develop, and maintain ETL pipelines to extract security and compliance data from multiple sources (network sensors, security tools, compliance databases), transform the data for analysis and reporting, and load it into target data repositories to support continuous monitoring and automated assessments.

Support data engineering operations including data quality validation, pipeline monitoring, and optimization of data workflows to ensure reliable, scalable, and timely delivery of security-related data for Risk Management Framework automation and decision‑making.

Minimum Requirements:
  • Background in statistical analysis
  • Experience with building, tuning, and testing predictive models
  • Experience creating analytic charts and dashboards
  • Desired (not required): experience with Elasticsearch, Reg Ex, Machine Learning, Natural Language Processing, Regression and predictive analysis, Python, Matlab or R, SQL or MongoDB, and Metric Databases (Grafana/Graphite/InfluxDB)
  • At least twenty (20) years of relevant experience.
  • Bachelor’s and Master’s degree or higher from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science). An additional two (2) years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Master’s degree for a total of eight (8) years of experience.

    A PhD from an accredited college or university in a quantitative discipline can be substituted for four years of experience, for a total of six (6) years of experience.
Benefits:

Legato, LLC is a dynamic small business headquartered in Columbia, near Ft. Meade, MD. We offer a generous benefits package including individual and family health, vision and dental benefits. A minimum of four (4) weeks of paid time off including a week of sick leave. Legato gives our employees 11 federal holidays off and a 401(k) employer match with no vesting schedule.

There is an opportunity to earn referral benefits or bank hours if the contract allows.

Disclaimer:

The salary range provided is an estimate based on current market conditions and may be adjusted based on factors such as experience, skills, and qualifications. The final salary offer will be determined after a thorough review of the candidate’s background and alignment with the role. Please note that this range is subject to change and should be considered as a guideline rather than a definitive figure.

Legato LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, or disability status.

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