Data Scientist, Air Dominance & Strike

Anduril Anduril · Defense · Washington, DC · Air Dominance & Strike : Mission Autonomy Engineering : MFX Factory

Data Scientist role at a defense technology company focused on developing aerial and multi-domain robotic systems. The role involves working with large and complex datasets to drive innovation in autonomous systems, leveraging Python for data transformations and pipelines. Experience with digital twins, robotics, or multi-agent autonomous systems is preferred.

What you'd actually do

  1. dive into unique, complex challenges that come with the territory of high-stakes, advanced technology in the defense sector.
  2. drive innovation in autonomous systems, shaping the future of defense and intelligence with solutions that are deployed at unparalleled speed.
  3. leverage your data science skills in an environment that encourages bold ideas and offers the resources to turn them into reality
  4. be part of the transformation that's setting new standards for military capabilities and security.

Skills

Required

  • Python
  • Unix/Linux environments
  • command line interface
  • distributed computing systems
  • large and complex datasets
  • established codebases
  • complex system architectures
  • data science
  • communication
  • collaboration

Nice to have

  • Digital twin simulation
  • robotics
  • multi-agent autonomous systems
  • cloud computing platforms (AWS, GCP, Azure)
  • containerization (Docker, Kubernetes)
  • data governance
  • data ethics
  • data privacy
  • data security
  • compliance requirements
  • leadership
  • mentoring junior data scientists
  • project teams
  • terabyte-scale data
  • robotics data formats (MCAP, HDF5)
  • dataframes (Pandas, PySpark)

What the JD emphasized

  • strong quantitative foundation
  • demonstrated expertise in Python for building data transformations, pipelines, and analysis tooling
  • effectively working with large and complex datasets
  • quickly understand and work within established codebases and complex system architectures
  • applying data science to solve real-world problems
  • translate technical findings into actionable recommendations that have a tangible impact

Other signals

  • autonomous systems
  • AI
  • computer vision
  • sensor fusion
  • robotics