Description
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology.
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.
Responsibilities
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.
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).
- 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).
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.