Data Scientist, Air Dominance & Strike

ABOUT THE TEAM

The Air Dominance & Strike team at Anduril develops aerial and multi-domain robotic systems. The team is responsible for taking products like Fury (unmanned fighter jet) and Barracuda (air-breathing cruise missile) from concept to product. The team also develops Lattice for Mission Autonomy, Anduril’s premier software platform that enables masses of Fury, Barracuda, and other first and third party robots to collaborate across various missions. We work in close coordination with specialist teams like Perception, Motion Planning, Hardware, and Test Engineering to solve some of the hardest problems facing our customers. We are looking for software engineers and roboticists excited about creating a powerful autonomy software stack that includes computer vision, motion planning, SLAM, controls, estimation, and secure communications.

ABOUT THE JOB

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.

REQUIRED QUALIFICATIONS

• 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.

PREFERRED QUALIFICATIONS

• 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).