Senior Data Scientist - Security Analytics (HYBRID)

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Senior Data Scientist - Security Analytics (HYBRID)

Full Time

9 days ago Requisition ID: 3524

Job Description:

Quevera is seeking a highly skilled Senior Data Scientist – Security Analytics with an active TS/SCI clearance with Polygraph in Linthicum, Maryland .

In this role, you will support the transformation of a traditionally manual system security evaluation process into an automated, efficient, and intelligence-driven model. Your work will support continuous monitoring, rapid decision-making, and strengthened security across the full lifecycle of critical systems and projects.

Job Responsibilities:

• Develop and enhance automated capabilities that replace manual security evaluation and authorization processes.


• Use Python to process, analyze, and validate security-related data to ensure systems and resources meet security requirements.


• Detect anomalies and outliers to assess progress through the Risk Management Framework (RMF) lifecycle.


• Identify system associations for resources based on various attributes and known system information.


• Design, build, and maintain ETL pipelines to collect and integrate data from multiple sources, including network sensors, security tools, and compliance databases.


• Transform and prepare data for reporting, analysis, and automated assessments.


• Support data engineering operations, including data quality checks, pipeline monitoring, workflow optimization, and timely delivery of security insights.


• Enable scalable and reliable dataflows supporting continuous monitoring and RMF automation.


• Active TS/SCI clearance with Polygraph required.


• Bachelor's degree or higher from an accredited college or university in a quantitative discipline, such as statistics, mathematics, operations research, engineering, or computer science.


• Ten (10) years of experience analyzing datasets and developing analytics.


• Ten (10) years of experience programming with data analysis software such as R, Python, SAS, or MATLAB.
  
  
  • An additional two (2) years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics may be substituted for a Master's degree.
  
  


• A PhD from an accredited college or university in a quantitative discipline may be substituted for four (4) years of experience.

Desired Skills:

• Strong background in statistical analysis.


• Experience developing, tuning, and testing predictive models.


• Proficiency in creating analytic dashboards, visualizations, and charts.


• Elasticsearch.


• Regular Expressions (RegEx).


• Machine learning.


• Natural Language Processing (NLP).


• Regression and predictive analysis.


• Python.


• MATLAB or R.


• SQL or MongoDB.


• Metric databases, including Grafana, Graphite, or InfluxDB.

Why Join Quevera?

Award-Winning Culture

Quevera was recognized as a Top Workplace in the Washington, DC/Baltimore region for 2025 , marking our fifth consecutive year receiving this distinction based on employee feedback.

We invest in our employees and their families through a highly competitive benefits package, including:

• 100% employer-paid medical coverage (optional plan)


• Competitive options for Medical, Dental and Vision insurance


• Employer-paid short-term and long-term disability coverage


• Employer-paid life insurance


• $5,000 annually for education, training, certifications, and professional development


• Career advancement through our structured iQTouch Program


• Up to 6% 401(k) match


• Additional 4% profit-sharing contribution , at company discretion

At Quevera, we believe exceptional people deserve exceptional opportunities. We're more than just a workplace—we're a team of innovators, problem-solvers, and industry experts committed to delivering mission-critical solutions while fostering professional growth, collaboration, and technical excellence.

Quevera is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age or any other characteristic protected by law. #LI-AA1