Role Description We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions. - Identify valuable data sources and automate collection processes - Undertake to preprocess of structured and unstructured data - Analyze large amounts of information to discover trends and patterns - Build predictive models and machine-learning algorithms - Combine models through ensemble modelling - Present information using data visualization techniques - Propose solutions and strategies to business challenges - Collaborate with engineering and product development teams Qualifications - Proven experience as a Data Scientist or Data Analyst - Experience in data mining - Understanding of machine-learning and operations research - Knowledge of R, SQL and Python - Analytical mind and business acumen - Strong math skills (e.g. statistics, algebra) - Problem-solving aptitude - Excellent communication and presentation skills - BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred Company Description

• Architect and implement generative AI and Agentic solutions using LLMs, diffusion models, and other cutting-edge techniques for text, image, and multimodal generation. • Develop custom fine-tuning and prompt engineering strategies for foundation models to meet domain-specific needs. • Explore innovative applications of generative AI in areas such as conversational agents, automated content creation, and citizen engagement platforms. • Build scalable pipelines for model training, evaluation, and deployment on cloud and edge environments. • Collaborate with product and engineering teams to embed generative AI capabilities into enterprise platforms. • Conduct research and experimentation with emerging architectures (e.g., transformers, diffusion models, VAEs, GANs) to stay ahead of industry trends. • Establish best practices for responsible AI, including bias mitigation, explainability, and ethical use of generative models. • Communicate complex AI concepts to executives and non-technical stakeholders in a clear, actionable manner. • Mentor junior data scientists and contribute to frameworks, tools, and reusable components for generative AI development.

• Lead data-driven product strategy initiatives supporting fraud detection and prevention systems • Design and deliver insights, reporting, and analytical frameworks to detect and mitigate fraud at scale • Define, track, and evaluate key metrics, including machine learning model performance and business impact • Partner with cross-functional teams to influence experimentation design, causal inference, and measurement strategy • Build intuitive dashboards and data visualizations to communicate insights to technical and non-technical stakeholders • Develop compelling data narratives that inform product, policy, and operational decisions • Drive structured decision-making through reviews, scorecards, OKRs, and planning processes • Lead coordination of high-visibility initiatives, including running standups, aligning stakeholders, and tracking progress • Define project scope, objectives, timelines, and resource requirements for complex programs • Develop and manage detailed project plans, proactively identifying and mitigating risks

Build, Deploy, and Maintain AI for an Unpredictable WorldStriveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective. With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs—and enabling confident, data-driven decision-making in dynamic environments. The RoleAs a Senior Data Scientist at Striveworks, you’ll be challenged—and trusted—on day one to be a core contributor to the projects, products, and direction of the company. You will be a key Striveworks representative and technology builder on projects and solutions that leverage Chariot, our proprietary AI operations (AIOps) platform, and you will inform and contribute to future capabilities of that platform. You will work as part of a team of data scientists, machine learning engineers, software engineers, and DevOps engineers to transform machine learning models into functional products. You’re right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You’re outcome driven and are passionate about applying both software and data science to solve real-world problems. You know that being customer focused, rigorous in approach, clear in communication, and able to identify repeatable value opportunities are all critical to success. You are able to sense the needs of the customer, identify evolving demands, and then synthesize that feedback into actionable suggestions for Striveworks’ product teams. Your day-to-day will include: - Working with customers, engineers, and other stakeholders to define clear requirements that solve customers’ problems and leverage the capabilities of our AIOps platform - Developing and validating machine learning models and custom analytic algorithms that are applied to image, video, text, geospatial, time series, and structured data - Orchestrating and automating complex data and analytic pipelines - Implementing AI-based software solutions for cloud and edge environments - Conducting mission-critical field work and interfacing with customers and other stakeholders This position offers a fully remote work environment, or you can work hybrid/on site at our office in northwest Austin, TX. You will be expected to travel up to 25% of the time. The Right FitIn 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. Here’s what we’re looking for: - 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) - Eligibility and willingness to obtain and maintain a Secret (or above) US security clearance - Due to the nature of this role, candidates must have US citizenship The Wish ListWe’re very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of: - Active Secret (or above) US security clearance - Advanced degree (MA, PhD) 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 (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 - Experience working with federal, state, and/or local government customers The anticipated base pay range for this position is $170,000–$200,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses. The 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 Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind. If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire. Striveworks is a participating employer in the E-Verify program.