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Data Scientist, Air Dominance & Strike - Anduril Industries
Data Scientist
Lead advanced analytics for air dominance, leveraging Python and machine learning to transform real‑time sensor data into actionable insights for tactical decision‑making.
About the role
Key Responsibilities
- Design and implement machine learning models to process and interpret large volumes of airborne sensor data.
- Develop end‑to‑end data pipelines that ingest, clean, and transform real‑time data streams for operational use.
- Collaborate with systems engineers to integrate analytical outputs into the Lattice OS and command‑and‑control interfaces.
- Conduct rigorous model validation, performance monitoring, and continuous improvement to meet mission‑critical reliability standards.
- Communicate findings to technical and non‑technical stakeholders through clear visualizations and concise reports.
Requirements
- Advanced degree in Computer Science, Electrical Engineering, or related field with focus on data science or machine learning.
- Proven experience building production‑grade ML models in Python (scikit‑learn, TensorFlow, PyTorch).
- Strong background in data engineering, including ETL, data warehousing, and real‑time streaming.
- Knowledge of airborne sensor systems and familiarity with defense‑grade data security practices.
- Excellent problem‑solving skills and ability to work in a fast‑paced, mission‑critical environment.
Skills
pythonmachine learningdeep learningdata analysis