Data Science/ Data Engineer Intern

Job description

Job responsibilities

• 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

Job requirements

• 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…
• 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