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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist (Active Secret Clearance - **Company:** StriveWorks, Inc - **Location:** Schofield Barracks, HI, United States - **Experience:** Expert - **Salary:** $220,000.0 - $270,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Data Analysis, C++ (Programming Language), Cloud Computing, Continuous Integration, Extract Transform Load (ETL), DevOps, Python (Programming Language), Machine Learning, Tensorflow, Software Engineering, Software Systems, SONAR (Symantec), Unstructured Data, Rust (Programming Language), Pytorch, Scikit Learn, Kubernetes, Information Technology, Data Pipelines, Docker - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/senior-data-scientist-active-secret-clearance-striveworks-7943350 ## About the Role We lead with trust, treat each other with respect, and use candor consistently, kindly, and constructively. We care deeply about our work, and we find genuine satisfaction in doing it well. Above all, we take ownership-because we feel the weight of collective results personally. We are looking for people who share these values and are eager to put them into practice., * 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 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 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 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 This position offers a hybrid/on-site work environment at customer sites at Schofield Barracks in Oߵahu, Hawaiߵi. You will be expected to travel up to 30% of the time, including some international travel. ## Description 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. ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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