Data Scientist

Virtualitics is the category leader in AI-native readiness applications for defense, government, and critical infrastructure. Founded on a decade of Caltech research in partnership with NASA/JPL, we are led by scientists, strategists, and service members united by a single mission: to solve the world’s most complex, mission‑critical challenges with AI.

Our Readiness AI solutions deliver operational certainty — giving leaders and operators a clear picture of what’s ready, what’s at risk, and what to do next. By identifying risks early, diagnosing root causes, and recommending prioritized actions with transparent, explainable AI, we help organizations move from data complexity to decision advantage.

Behind that impact is relentless innovation. Inventors at heart, we hold 15+ U.S. patents and are leading the shift toward agent‑driven readiness. But what truly sets us apart is our culture — relentless about results, grounded in transparency, and driven by compassion for the mission and the people it serves.

We are looking for a Data Scientist with TS/SCI security clearance to join our Platform team. If you’re motivated by impact, inspired by technical depth, and ready to build AI that performs where it matters most, we’ll give you a mission to make a difference.

• Use the capabilities of the Virtualitics AI Platform to deploy production solutions for our customers
• Work with customer data and own the development of an AI solution from ideation to production
• Leverage integrations with big data frameworks, such as Databricks, to develop solutions for customers

• Must have an active TS/SCI security clearance and be willing to work from a SCIF as needed
• Must be located in or near Washington DC/Northern Virginia to be able to access relevant SCIFs
• Regular travel anticipated to client sites/military bases
• Degree in Computer Science
• 3+ years of experience writing production‑ready code in Python
• 3+ years of experience with the Python Data Stack: pandas, Num Py, scikit‑learn, Tensor Flow, PyTorch, matplotlib, etc.
• 1 year of experience deploying a machine learning model in a production environment
• 1–2 years of experience with SQL/No
  
  SQL or other database systems (Elasticsearch, graph databases, etc.)
• 3 years of experience with Git (or an alternative version control tool)
• 1 year of experience with Docker and/or Kubernetes
• A strong sense of ownership and accountability
• Excellent written and verbal communication skills in English

• Demonstrated experience in leading the development efforts for a project from a SCIF
• Experience with PCAP and network monitoring, CVEs and cyber vulnerabilities, etc.
• 1 year of experience integrating applications with at least one of Spark, Dask, Snowpark or Kafka
• 1 year of experience with task schedulers (e.g., Celery, Airflow, Prefect) and web‑app development stacks (e.g., Flask/Django)

• Competitive salary/equity/bonus based on experience and education
• Full benefits including medical, dental, vision
• Unlimited paid time off

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.