Senior Data Scientist (Active Secret Clearance)

Striveworks delivers trusted AI systems in real-world use cases. As a Senior Data Scientist, 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.

Responsibilities

Be a core contributor to the projects, products, and direction of the company; Work as part of a team of data scientists, machine learning engineers, software engineers, and DevOps engineers; 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

Requirements

A BS degree in computer science, machine learning, mathematics, or a related discipline and 6+ years of relevant experience; Expertise in machine learning, data science, and their application to image and video data, as well as experience deploying those capabilities to production environments; Expertise in implementing and analyzing algorithms and data structures; 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; Exposure to DevOps tooling and best practices (e.g., Git, Docker, Kubernetes, CI/CD); Active Secret (or above) US security clearance and US citizenship; Expected to travel up to 25% of the time

Nice to have

A graduate degree in computer science, machine learning, mathematics, or a related discipline; Experience processing a variety of unstructured data types (e.g., imagery, full-motion video, text, acoustic, sonar, RF, geospatial, graphs, or telemetry signals); Experience building AI agents and agentic workflows; Experience implementing ETL pipelines, data pipelines, and/or workflow automation; Experience developing solutions in a compiled programming language (e.g., Go, Rust, C++, Java, etc.); Experience building full-stack applications (back end, front end, REST) or solutions targeted for cloud infrastructure (AWS, Azure, GCP) and/or Kubernetes (K8s); Experience leading a small team; Experience delivering technology solutions in secure government environments

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