Data Analyst, Air Dominance & Strike

Anduril IndustriesSeattle, CA

About The Position

As a Data Scientist at Anduril, you will dive into unique, complex challenges that come with the territory of high-stakes, advanced technology in the defense sector. Your expertise will drive innovation in autonomous systems, shaping the future of defense and intelligence with solutions that are deployed at unparalleled speed. If you're eager to leverage your data science skills in an environment that encourages bold ideas and offers the resources to turn them into reality, Anduril provides the perfect platform to propel your career and make a tangible difference in a world entering a new era of strategic competition. Join us and be part of the transformation that's setting new standards for military capabilities and security.

Requirements

  • A background in Computer Science, Mathematics, Statistics, Data Science, or a related technical field with a strong quantitative foundation.
  • 3+ years of demonstrated expertise in Python for building data transformations, pipelines, and analysis tooling.
  • Familiarity with Unix/Linux environments, including proficiency with the command line interface and the ability to efficiently manage and navigate distributed computing systems.
  • A proven track record of effectively working with large and complex datasets, as well as the capacity to quickly understand and work within established codebases and complex system architectures.
  • A strong commitment to applying data science to solve real-world problems, with the ability to translate technical findings into actionable recommendations that have a tangible impact.
  • Excellent communication and collaboration skills, with the ability to engage effectively with multidisciplinary teams, including engineers, product managers, and non-technical stakeholders.

Nice To Haves

  • Experience working with Digital twin simulation, robotics or multi-agent autonomous systems
  • Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and familiarity with containerization (e.g., Docker, Kubernetes) is highly beneficial.
  • Knowledge of best practices in data governance, ethics, and privacy, as well as experience with data security and compliance requirements relevant to sensitive and classified information.
  • Leadership experience, with the ability to mentor junior data scientists and lead project teams in the execution of complex data science initiatives.
  • Experience working with terabyte-scale data, robotics data formats (e.g. MCAP, HDF5), and dataframes (e.g. Pandas, PySpark).

Responsibilities

  • Building data transformations, pipelines, and analysis tooling.
  • Effectively working with large and complex datasets.
  • Quickly understanding and working within established codebases and complex system architectures.
  • Applying data science to solve real-world problems.
  • Translating technical findings into actionable recommendations that have a tangible impact.
  • Engaging effectively with multidisciplinary teams, including engineers, product managers, and non-technical stakeholders.

Benefits

  • Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package.
  • Top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits .
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