Data Science / Data Engineer Intern, Hadrian

• Current university student pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Applied Math, Engineering, or a related field, with an expected graduation date between December 2027 and June 2028
• Proficiency in Python and SQL
• Familiarity with data pipelines, ETL/ELT workflows, or cloud data warehouses
• Working knowledge of statistics and the ability to turn a messy dataset into a defensible conclusion
• Strong problem-solving skills and the ability to work through ambiguous technical challenges
• Clear written and verbal communication, including the ability to explain analysis to non-technical partners
• Strong attention to detail and follow-through
• Comfortable working in a fast-moving, highly ambiguous environment
• Willingness to work on-site in Los Angeles, CA
• Internships are available for our Fall 2026, Spring 2027, and Summer 2027 cohorts. Indicate your preferred term(s) when applying

Desirable

• Hadrian is looking for a Data Science/ Data Engineer Intern to join the team building the data backbone of our autonomous factory. Every machine, part, and process on our floor generates data, and how well we move, model, and interpret that data determines how fast we can scale
• You'll work alongside experienced engineers and analysts on real production data- from the pipelines that move machine telemetry and quality records into our warehouse to the models and analyses that shape how we run the factory. This is a hands-on role where your work will ship, and your contributions will directly influence operational decisions at Hadrian
• Build and maintain data pipelines that move machine, production, quality, and program data from the factory floor into our warehouse
• Model and structure datasets that engineering, operations, and quality teams rely on for daily decision-making
• Analyze production data to surface insights on throughput, capacity, cycle time, yield, and machine utilization
• Develop dashboards, metrics, and reporting that improve visibility into factory performance and program status
• Prototype statistical or machine learning approaches for problems like anomaly detection, demand forecasting, or process optimization
• Collaborate with cross-functional teams including operations, program management, and quality to translate open questions into measurable analyses
• Write clean, well-tested, well-documented code and participate in code reviews
• Surface data quality issues and contribute to discussions on how we instrument and govern our data
• What You'll Gain:
• Hands-on experience building data infrastructure and analysis for a high-growth, mission-driven industrial company
• Direct involvement with real production data, not sample datasets or side projects
• Exposure to the full path from raw factory signal to operational decision
• A front-row seat to how Hadrian is transforming aerospace and defense manufacturing through software, automation, and data