Booz Allen Hamilton

Applied Data Scientist

Arlington, VA, US$99,000-$225,000Posted 17 days ago

Job Description

The Opportunity

As a data scientist, you’re excited about building intelligent systems, not just analyzing data. You’re motivated to design, develop , and deploy machine learning and AI-driven capabilities that operate in real-world environments. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist, you’ll transform these data into operational systems by develop ing algorithms, training models, and deploying solutions that perform reliably at scale.

On our team, you’ll work closely with clients to understand mission needs and translate them into technical solutions. You’ll design and implement machine learning models, build supporting data pipelines, and deploy capabilities into production environments. You’ll apply a mix of statistical met hods, machine learning, and sof tware engineering to deliver end-to-end solutions. You’ll help move beyond analysis to create robust, maintainable AI and ML systems that deliver measurable impact.

Work with us as we use data science for good.

Join us. The world can’t wait.

You Have

  • Experience develop ing machine learning or AI algorithms and applying pre-built models
  • Experience building and deploying ML and AI solutions into production or operational environments
  • Experience designing and implementing end-to-end ML pipelines, including data ingestion, training, evaluation, and deployment
  • Experience writing production-quality code in languages, such as Python
  • Experience working with structured and unstructured data at scale
  • Experience applying techniques such as optimization, simulation, or advanced machine learning met hods
  • Experience working in Linux-based or cloud-based environments
  • Experience using modern sof tware engineering practices, such as Git, testing, or CI / CD
  • Ability to obtain a Secret clearance
  • Bachelor's degree

Nice If You Have

* Experience with deep learning, reinforcement lea...

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