Senior Data Scientist (Active Secret Clearance)

Striveworks

$185K — $230K *
Aerospace & Defense
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • BS in computer science, machine learning, mathematics, or related field; 6+ years relevant experience
  • Expertise in machine learning applications, particularly in image and video data; experience in production deployment
  • Strong in algorithms and data structure analysis and implementation
  • Proficient in Python and machine learning libraries like TensorFlow, PyTorch, or scikit-learn
  • Familiarity with DevOps tools (Git, Docker, Kubernetes) and best practices
  • Active Secret security clearance and U.S. citizenship required

Responsibilities

  • Develop and validate machine learning models and analytic algorithms for diverse data types
  • Implement AI-based software solutions for both cloud and edge environments
  • Collaborate with a multidisciplinary team of experts in various engineering fields
  • Monitor and manage model performance, ensuring system reliability post-deployment
  • Contribute to the strategic direction of projects and products within the company

Benefits

  • Medical/dental/vision insurance
  • Voluntary life and long-term disability insurance
  • 401(k) plan with company match
  • Unlimited paid time off (PTO)
  • Paid parental leave
Full Job Description
What you'll build

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.
What it's like here

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.
What we're looking for
  • A 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)
  • Active Secret (or above) US security clearance and US citizenship

The following isn't required, but we'd love to see it:
  • A graduate degree 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 (e.g., 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

You will be hybrid/on site at our Austin, Texas, office. You will be expected to travel up to 25% of the time.
Compensation

The anticipated base pay range for this position is $185,000-$230,000/year. Striveworks' total compensation package includes a competitive base salary, equity grants, and cash bonuses.
Benefits include:
  • 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

Ready to build systems that work for a mission that matters? Let's talk.

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