Senior Data Scientist (Active TS/SCI Clearance)

“In 36 months, agentic AI systems will be an operating reality across major institutions. We intend to be central to it.” — Dr. Jim Rebesco, Cofounder and CEO, Striveworks

The government’s demand for AI is growing far faster than the systems required to support it. Fewer than 15% of federal AI programs have reached sustained production, despite billions of dollars invested. The models perform in testing, but they degrade in the real world. And when performance drops, trust goes with i...

Striveworks was built to solve that problem.

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.
If you require assistance or a reasonable accommodation in the application process, please contact People Operations at hr@striveworks.us.
In compliance with federal law, all persons hired will be required to verify their identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.
Striveworks is a participating employer in the E-Verify program.

A BS degree in computer science, machine learning, mathematics, or a related discipline and 6+ years of relevant experience 
Proficiency in machine learning and data science, and applying both to image and video data
Proficiency in implementing and analyzing data structures and algorithms
Proficiency in programming languages and libraries common to machine learning; excellence in Python is essential, as is knowledge of libraries like TensorFlow, PyTorch, and/or scikit-learn
Experience developing anomaly detection algorithms for AI systems, models, data, and workflows
Exposure to software development life cycles and tools (e.g., Git, Agile) 
Active TS/SCI security clearance and US citizenship, as well as eligibility and willingness to undergo a Counterintelligence (CI) Scope Polygraph if required 

The following isn’t required, but we’d love to see it:
An advanced degree in computer science, machine learning, mathematics, or a related discipline
Experience deploying machine learning and data science solutions to production environments
Exposure to DevOps and cloud infrastructure (e.g., Docker, K8s, and CI/CD)
Experience processing unstructured data types (e.g., imagery, full-motion video, text, acoustic, sonar, RF, geospatial, graphs, telemetry signals)
Experience building AI agents and agentic workflows
Experience implementing ETL pipelines, data pipelines, and/or workflow automation
Experience developing software in a compiled programming language (e.g., Go, Rust, C++, Java, etc.)
Experience building full-stack applications (i.e., back end, front end, REST)
Experience working with federal, state, and/or local government customers

You will be hybrid and on site at customer locations in the Northern Virginia area, with up to 10% travel.