Senior Data Scientist (Active Secret Clearance)
About The Position
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 it. Striveworks was built to solve that problem. Since 2018, we have delivered the most trusted AI systems operating in real-world use cases—providing a layer of assurance underneath hundreds of deployed models that monitors performance, manages drift, and sustains systems long after they leave the lab. As a Senior Data Scientist at Striveworks, you will be a core contributor to the projects, products, and direction of the company. Working as part of a team of data scientists, machine learning engineers, software engineers, and DevOps engineers, you’ll develop and validate machine learning models and custom analytic algorithms applied to image, video, text, geospatial, time series, and structured data. You will also implement AI-based software solutions for cloud and edge environments. This role puts you directly at the customer site at Schofield Barracks, conducting mission-critical fieldwork and traveling internationally when the mission calls for it.
Requirements
- BS degree in computer science, machine learning, mathematics, or a related discipline
- 6+ years of relevant experience
- Proficiency in machine learning and data science techniques, with experience applying them to text 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 cycle and tools
- Active Secret (or above) US security clearance and US citizenship
Nice To Haves
- 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
Responsibilities
- Develop and validate machine learning models and custom analytic algorithms applied to image, video, text, geospatial, time series, and structured data.
- Implement AI-based software solutions for cloud and edge environments.
- Conduct mission-critical fieldwork at customer sites.
- Travel internationally when the mission calls for it.
Benefits
- Medical/dental/vision insurance
- Voluntary life, long-term disability, accident, and hospital indemnity insurance
- HSA and FSA (including dependent care FSA) plans
- 401(k) plan
- Unlimited PTO
- Paid parental leave
- Equity grants
- Cash bonuses
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What This Job Offers
Job Type
Full-time
Career Level
Senior
