Senior Data Scientist (Active TS/SCI Clearance)

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.

Responsibilities

Core contributor to projects, products, and direction; 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; 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

Nice to have

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

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