Position Overview
As a Data Scientist at Anduril, you will work on developing advanced autonomous systems with the Tactical Recon and Strike (TRS) team. You will be at the forefront of transforming innovative ideas into operational systems for defense technology, collaborating with multidisciplinary teams to solve complex, high-stakes challenges.
Key Responsibilities
• Conduct in-depth data analysis using Python, MATLAB, and other relevant tools to address complex challenges.
• Collaborate cross-functionally with engineering, product management, and fellow data scientists to drive innovation.
• Develop, optimize, and oversee autonomous vehicle data infrastructure, including data pipelines and software tools.
• Spearhead technical investigations to diagnose operational issues and analyze performance trends.
• Design and implement analytics-driven, customer-facing products to showcase system performance and trends.
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 (e.g., PyTorch, TensorFlow, Scikit-Learn) is essential.
• Familiarity with Unix/Linux environments and effective command line skills in managing distributed computing systems.
• Exceptional data visualization skills using tools such as Plotly, Matplotlib, Seaborn, and business intelligence platforms like Tableau or Power BI.
• Proven track record with large and complex datasets, and the ability to quickly navigate established codebases and system architectures.
• Strong commitment to applying data science to solve real-world problems with actionable insights.
• Excellent communication and collaboration skills to engage effectively with multidisciplinary teams.
• Requires 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 tools (e.g., Docker, Kubernetes).
• Knowledge of best practices in data governance, ethics, and privacy, including compliance requirements for sensitive and classified information.
• Leadership experience with the ability to mentor junior data scientists and lead project teams.
• Experience working with terabyte-scale data, robotics data formats (e.g., MCAP, HDF5), and dataframes (e.g., Pandas, PySpark).
Benefits & Perks
• Relocation Benefits Provided – based at headquarters in Costa Mesa, CA.
