Senior Software Engineer, Data Science & Machine Learning

ABOUT THE TEAM
The Tactical Recon and Strike (TRS) division at Anduril develops aerial small drones (Group 1-3) and all equipment to test, deploy and operate. The team is responsible for taking products like Ghost, Anvil, Bolt and Altius from paper sketches to operational systems. We work in close coordination with specialist teams to solve some of the hardest problems facing our customers.
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. This position will be located at our headquarters in Costa Mesa, CA (relocation benefits provided).
WHAT YOU'LL DO

• Conduct in-depth data analysis using Python, MATLAB, and relevant tools to address complex problems, define key performance indicators for autonomous vehicle 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 enhancing vehicle performance based on data-driven insights.
• Develop, optimize, and oversee autonomous vehicle 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.

REQUIRED QUALIFICATIONS

• A background in Mathematics, Statistics, Computer Science, Data Science, or a related technical field with a strong quantitative foundation.
• Demonstrated expertise in Python with a robust portfolio of projects showcasing the development, validation, and deployment of predictive models and data products. Proficiency with machine learning frameworks such as PyTorch, TensorFlow, and Scikit-Learn is essential.
• 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) and business intelligence platforms (e.g., Tableau, Power BI) 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.
• Excellent communication and collaboration skills, with the ability to engage effectively with multidisciplinary teams, including engineers, product managers, and non-technical stakeholders.
• Must be able to obtain and maintain a DoD Security Clearance.
• Must be open to 24/7 on-call work with customers.
• Must be open to 20% travel.

PREFERRED QUALIFICATIONS

• 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).