Senior Data Scientist

Themis Insight, LLC

Develop automation capabilities for system security evaluations while leveraging Python and ETL pipelines at Themis Insight. Collaborate on continuous monitoring and compliance assessment processes in a secure context.

Posted 6/26/2026full-timeLinthicum Heights • Maryland • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

CloudETLPythonTypeScript

About the role

Key responsibilities & impact

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 monitoring and assessment, and network data gathering across the entire life cycle of a project.
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 determined by various 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.

Requirements

What you’ll need

TS/SCI with a Polygraph
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).
Ten years of experience analyzing datasets and developing analytics.
Ten years of experience programming with data analysis software such as R, Python, SAS, or MATLAB.
An additional two 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.
A PhD from an accredited college or university in a quantitative discipline can be substituted for four years of experience.
Background in statistical analysis
Experience with building, tuning, and testing predictive models
Experience creating analytic charts and dashboards

Benefits

Comp & perks

full health benefit premium coverage
generous contributions toward your retirement
Competitive health, dental, and vision plans with 100% paid premiums.
401k: We contribute 6% even if you don't!
Time Off: 11 standard holidays, and 25 days of PTO
Career Development: Get career counseling and individualized career development plans, including education and training.
Employee referral bonuses for successful hires

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonETL pipelinesdata analysisstatistical analysispredictive modelingdata quality validationpipeline monitoringdata transformationdata reportinganalytics

Certifications

TS/SCI with a Polygraph