Data Scientist & AI Engineer, Mid

Are you ready to embark on a journey where your skills in data and artificial intelligence will drive innovation and propel businesses into the future?

Are you fascinated by the possibilities presented by artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As an aspiring data scientist AI engineer, you know you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors — from fraud detection to cancer research, to national intelligence — you see data scientists turning data into actions and you want to be part of the team.

As a data scientist on our team, you’ll use your analytical skills to help create real-world impact. You’ll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll work with and learn from your teammates as you develop algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers so that your clients can make informed decisions.

If you are driven by curiosity, thrive in a fast-paced setting, and have a deep fascination with the potential of AI, this is the place where you can make a significant impact. Join us, and be part of a team that's not only shaping the future but also pushing the boundaries of what's possible.

Join us. The world can’t wait.

• 3+ years of experience leveraging statistical programming languages to develop predictive data models, quantitative analyses, and data visualizations
• 2+ years of experience in Artificial Intelligence, including Machine Learning, Agentic AI, Natural Language Processing, and applied use of Large Language Models
• Experience with front-end development using React or Python-based frameworks, such as Streamlit to build interactive, user-facing data applications
• Experience with generative AI and agentic AI libraries and frameworks for building LLM-powered applications and autonomous agents
• Experience writing efficient, clean, and maintainable code, using Git, testing, and code reviews to collaboratively develop reliable AI solutions
• Ability to query, process, and build data pipelines for large, complex datasets using big data technologies
• Ability to evaluate AI models using appropriate performance metrics, validation methods, and error analyses to assess accuracy, robustness, bias, fairness, and fitness for the intended use case
• Public Trust
• Bachelor's degree in Computer Science, Machine Learning, Data Science, Engineering, or Mathematics

• Experience with AWS or other cloud services
• Experience with program automation, CI and CD, Dev Sec Ops , or Agile
• Experience with healthcare or medical device industry data
• Experience with Agile methodologies and best practices
• Experience using AI-assisted development tools like Claude Code, Cursor, or Open Code
• Ability to apply experimental design principles to define evaluation criteria, establish baselines, identify appropriate comparison groups, and determine the data and methods needed to assess an AI solution before development starts
• Master’s degree preferred;
  Doctorate degree a plus

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client;
Public Trust determination is required.

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