Striveworks 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 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 represent Striveworks as a 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:
- 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 hybrid/on-site work environment at our office in northwest Austin, TX. You will be expected to travel up to 30% 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 2+ 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
- 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
We’re very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of:
- Advanced degree (e.g., MSA, 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, or 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 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 $140,000–$165,000/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 [email protected].
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.
Skills Required
- BS degree in computer science, machine learning, mathematics, or a related discipline
- 2+ years of relevant experience
- Proficiency in Python and data science libraries
- Active Secret US security clearance
- US citizenship
Striveworks Compensation & Benefits Highlights
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Healthcare Strength — Health coverage includes medical, dental, vision, life, and disability insurance, with FSA/HSA options also highlighted. This breadth indicates comprehensive healthcare support for a growth‑stage tech employer.
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Equity Value & Accessibility — Equity/stock options and a stock incentive plan are consistently advertised alongside performance bonuses. Ownership opportunities are positioned as a meaningful component of total rewards.
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Leave & Time Off Breadth — An “unlimited/flexible” PTO policy is repeatedly called out, with flexible time off featured across listings. This framing suggests wide latitude for taking leave, subject to team norms.
Striveworks Insights
What We Do
Striveworks helps organizations get the most out of their investment in artificial intelligence. Our proprietary technology allows organizations to rapidly build, launch, and maintain AI models—in hours, not months. Users can deploy them in one click and keep them working even when the world changes around them. Striveworks delivers trustworthy AI-powered analysis by creating models that “learn” and stay ahead of their environment at machine speed. We make artificial intelligence work—today and in the future. In 2023, Striveworks placed on the Deloitte Technology Fast 500 as one of the most rapidly growing technology companies in North America. In 2025, Striveworks was honored with a Built In Best Places to Work award—for the fourth year running.
Why Work With Us
Our people and products shape solutions that directly affect the geopolitical landscape. We are cross-functional talent working together on the cutting edge to provide mission critical solutions.
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Striveworks Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
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