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Data Scientist-Generative AI

Steampunk

$125,000 - $160,000
Aug 22, 2025
McLean, VA, USA
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Steampunk is looking for a seasoned Data Scientist to work with their existing team of Data Scientists and Engineers to use Generative AI technology in supporting Federal use cases.

Requirements

  • Must have hands-on experience in building and deploying generative models, with a portfolio of relevant projects.
  • Must be proficient in Python, with strong coding practices for scalability and reproducibility. Familiarity with R is a plus.
  • Demonstrated experience in building, training, and deploying generative models like Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), or autoregressive models like Transformer-based architectures.
  • Demonstrated experience manipulating structured and unstructured data for analysis
  • Demonstrated experience using AI frameworks like TensorFlow, PyTorch, Keras, or JAX. Ability to implement and modify complex neural network architectures.
  • Skilled in using data manipulation and analysis libraries such as Pandas, NumPy, SciPy, and Scikit-learn.
  • Experience in Cloud analytics (AWS, Azure, or GCP) with tools such as AWS SageMaker, AWS Bedrock, Azure OpenAI, etc.

Responsibilities

  • Design and train advanced machine learning models, especially generative models like GANs, VAEs, or transformer-based models.
  • Manage datasets, perform data cleaning, and preprocessing to ensure high-quality inputs for model training.
  • Conduct experiments to test hypotheses and refine models based on performance metrics.
  • Work closely with ML Engineers and Software Developers to transition models from a research and development stage to production.
  • Stay updated with the latest research and trends in AI to implement cutting-edge solutions.
  • Ability to leverage and integrate various data management tools at scale – cloud experience preferred
  • Support an Agile software development lifecycle

Other

  • Ability to hold a position of public trust with the US government.
  • Master's Degree and 3 years of relevant experience; OR Bachelor's Degree and 5 years of relevant experience; OR No degree and 9 years of relevant experience
  • 3+ years industry experience developing ML/AI solutions and a passion for solving complex problems.
  • Excellent communication and customer service skills
  • As part of the application process, you are expected to be on camera during interviews and assessments.