Data Scientist (Active Secret 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 2+ years of relevant experience
Proficiency in machine learning and data science, with demonstrated application to image data, video data, or agentic systems
Proficiency in implementing and analyzing data structures and algorithms
Excellence in Python and knowledge of TensorFlow, PyTorch, and/or scikit-learn
Exposure to software development life cycle and tools
Active Secret (or above) US security clearance and US citizenship

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 to cloud infrastructure
Experience processing a variety of unstructured data types (e.g., image/video, text, telemetry, graphs, or other)
Experience implementing ETL pipelines, data pipelines, and/or workflow automation
Experience developing software in a systems programming language (e.g., Go, Rust, C++, Java, Scala, etc.)

You will be hybrid or on site at our Austin, Texas, office. This role requires travel up to 30% of the time.