Senior Data Scientist

5 hours, 20 minutes ago
Full-time
Senior
Data Science and Analytics
GRVTY

GRVTY

GRVTY is a defense technology and national security company based in Arlington, Virginia. It specializes in advanced solutions for intelligence, surveillance, reconnaissance, and targeting (ISR&T), cyber defense, and AI-driven data analytics. The company primarily serves U.S. government customers in defense, intelligence, homeland security, and civilian sectors. GRVTY was formed by Arlington Capital Partners and has over 325 employees across multiple states. The company focuses on four core areas: resilient cyber and communications, integrated ISR-T solutions, next-generation AI and data analytics, and decisive intelligence solutions. GRVTY provides automated ISR&T platforms, patented data fusion engines, and cyber-hardened communications to support rapid mission execution. Its mission is to deliver innovative technologies that address national security priorities and enhance operational integrity in contested environments.

information technology & services
201-500
Founded 2015

Description

  • Develop advanced analytic solutions that transform complex intelligence data into actionable insights for mission stakeholders.
  • Design and implement scalable data pipelines, automation strategies, and analytic processes for large, diverse datasets.
  • Work directly with intelligence professionals to solve mission problems and improve analytic workflow efficiency, repeatability, and rigor.
  • Build production-ready Python tools and reusable analytic capabilities to automate manual processes.
  • Design visualizations and dashboards that communicate complex findings clearly for operational and strategic use.
  • Rapidly prototype and deploy solutions to meet emerging customer requirements.
  • Independently manage multiple concurrent projects and technical initiatives in a fast-paced operational environment.
  • Provide technical leadership in modern data science practices and support enterprise modernization initiatives.
  • Collaborate with analysts, engineers, and mission stakeholders across the Intelligence Community.
  • Apply data science techniques, statistical methods, and data-driven problem solving to identify patterns, trends, and opportunities.

Requirements

  • Active TS/SCI clearance; ability to obtain a CI Polygraph is preferred.
  • Demonstrated experience supporting intelligence missions through data science, advanced analytics, or intelligence analysis.
  • Ability to operate independently at a senior level with minimal oversight.
  • Senior-level proficiency in Python and experience developing production-quality analytic applications and automation solutions.
  • Experience designing and implementing scalable processes for large, complex datasets to identify trends, patterns, and analytical discoveries.
  • Experience developing data models, automation workflows, and repeatable analytic processes.
  • Experience creating visualizations, dashboards, and data products that support decision-making.
  • Experience managing multiple projects and technical initiatives simultaneously in a high-tempo environment.
  • Strong understanding of data analysis, statistical methods, and data-driven problem solving.
  • Excellent written and verbal communication skills with the ability to present technical concepts to diverse audiences.
  • Familiarity with common Intelligence Community data repositories.
  • Demonstrated ability to collaborate effectively with analysts, engineers, and mission stakeholders.
  • Familiarity with geospatial data science, GEOINT workflows, or multi-INT analysis.
  • Experience with additional programming languages or low-code/no-code platforms such as JEMA, Brewlytics, or ArcGIS ModelBuilder (preferred).
  • Experience developing enterprise-level dashboards and data visualization solutions using modern business intelligence tools (preferred).
  • Experience applying machine learning or artificial intelligence techniques to intelligence problems (preferred).
  • Experience working with cloud-based data platforms and distributed computing environments (preferred).
  • Experience mentoring junior data scientists or leading technical modernization initiatives (preferred).
  • Knowledge of DevSecOps principles and modern software development practices (preferred).

Benefits

  • Pay range of $120,000 to $150,000 USD.
  • Competitive pay with compensation influenced by experience, education, certifications, and location.
  • Comprehensive benefits package.
  • Robust health coverage including medical, dental, and vision.
  • Health Savings Account with company contribution.
  • Annual paid time off and paid holidays.
  • Paid parental leave.
  • 401(k) with generous company match.
  • Training and development opportunities, including continued education and professional growth support.

Interested in this position?

Apply directly on the company website

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