Senior Data Scientist (Active Secret Clearance)

StriveworksTacoma, WA
$185,000 - $230,000Hybrid

About The Position

The government’s demand for AI is growing far faster than the systems required to support it. Fewer than 15% of federal AI programs have reached sustained production, despite billions of dollars invested. The models perform in testing, but they degrade in the real world. And when performance drops, trust goes with it. Striveworks was built to solve that problem. 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, 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. You will sense what customers need, identify evolving demands, and translate that feedback into actionable input for our product teams. This role puts you directly at the customer site at Joint Base Lewis-McChord in Tacoma, WA, conducting mission-critical fieldwork.

Requirements

  • BS degree in computer science, machine learning, mathematics, or a related discipline
  • 6+ years of relevant experience
  • Proficiency in machine learning and data science, with demonstrated application to image, video, and/or text data
  • Proficiency in implementing and analyzing data structures and algorithms
  • Excellence in Python and knowledge of TensorFlow, PyTorch, and/or scikit-learn
  • Exposure to software development life cycles and tools
  • Active Secret (or above) US security clearance and US citizenship

Nice To Haves

  • 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 Docker, K8s, CI/CD
  • Experience building AI agents and agentic workflows
  • Experience implementing ETL pipelines, data pipelines, and workflow automation
  • Experience developing software in a compiled programming language
  • Experience building full-stack applications

Responsibilities

  • Develop and validate machine learning models and custom analytic algorithms applied to image, video, text, geospatial, time series, and structured data.
  • Implement AI-based software solutions for cloud and edge environments.
  • Sense what customers need, identify evolving demands, and translate that feedback into actionable input for our product teams.
  • Conduct mission-critical fieldwork at customer sites.

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
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