Air Defense - Data Scientist

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

ABOUT THE TEAM

The Air Defense team builds robots that find other robots and knock them out of the sky. At a time when air superiority can no longer be taken for granted, the Air Defense Team provides mission critical capabilities to warfighters. From detection to tracking, identification, deterrence, and defeat, our family of networked sensors and effectors enables our customers to rapidly close the kill chain against a broad range of Unmanned Aerial System (UAS) threats. Working across product, engineering, sales, logistics, operations, and mission success, the Air Defense team develops, tests, deploys, and sustains the Anduril Air Defense Family of Systems (FoS) in challenging operational environments worldwide.

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.

What You’ll Do

• Conduct in-depth data analysis using Python and relevant tools to address complex problems, define key performance indicators for autonomous systems, and effectively communicate analytical insights to stakeholders.
• Collaborate cross-functionally with engineering, product management, and fellow data scientists to apply advanced statistical techniques, informing strategic decisions and guiding the development of roadmaps for systems performance based on data-driven insights.
• Own the ingest and egress frameworks for data pipelines that stitch together various data sources in order to produce valuable data products that drive the business
• Develop, optimize, and oversee autonomous systems data infrastructure, including the creation and management of software tools, data catalogs, and robust data pipelines that facilitate efficient data extraction, transformation, and delivery of high-quality data products for internal use and stakeholder presentation.
• Spearhead technical investigations to diagnose operational issues and analyze performance trends, providing leadership in the interpretation of data and formulation of solutions to improve system reliability and efficiency.
• Design and implement analytics-driven customer-facing products that showcase system performance metrics, provide trend analysis, and enhance user understanding and experience with our autonomous vehicle platforms.

Core Qualifications

• A background in Computer Science, Mathematics, Statistics, Data Science, or a related technical field with a strong quantitative foundation.
• 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.
• Exceptional data visualization skills, with proficiency in using visualization tools (e.g., Plotly, Matplotlib, Seaborn) to translate complex data insights into accessible visual formats for diverse audiences.
• 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.
• Current US Person status (U.S. citizen or permanent resident) with the ability to obtain and maintain a U.S. Departmen