Striveworks - Data Scientist (Active Secret Clearance)
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Requirements
• 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 and in 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 • Exposure to software development life cycle and tools (e.g., Git, Agile) • Active Secret (or above) US security clearance • Due to the nature of this role, candidates must have US citizenship • The Wish List • The Wish List • We’re very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of: • An advanced degree (e.g., MS, MEng, PhD) in computer science, machine learning, mathematics, or a related discipline • Experience deploying machine learning and data science, and applying both to production environments • Exposure to DevOps and Cloud infrastructure (e.g., Docker, Kubernetes, CI/CD, major cloud providers) • Experience processing a variety of 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) • Experience building full-stack applications (i.e., back end, front end, REST) • Experience delivering technology solutions in secure government environments • Experience working with federal, state, and/or local government customers • The anticipated base pay range for this position is $160,000–$190,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses.
Responsibilities
• Developing and validating machine learning models and custom analytic algorithms that are applied to image, video, text, geospatial, time series, and structured data • Implementing AI-based software solutions for cloud and edge environments • Conducting mission-critical fieldwork in support of customers and other stakeholders • This position offers a fully remote work environment, or you can work hybrid/on site at customer locations at Joint Base Lewis–McChord in Tacoma, WA. If remote, you will be expected to travel up to 30% of the time. If local, you will be expected to travel up to 25% of the time. • The Right Fit • The Right Fit • In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. • Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.
Benefits
• Medical/dental/vision insurance • Voluntary life, long-term disability, accident, and hospital indemnity insurance • HSA and FSA (including dependent care FSA) plans • Paid parental leave • Check us out on Built In!
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