Internship – Analytics Engineering – Thermal & Chassis
| Company | Tesla |
|---|---|
| Location | Fremont, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Internship |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Internship |
Requirements
- Currently pursuing a degree in Engineering, Computer Science, Mechatronics, Math, Statistics or related field
- Proven proficiency in SQL and Python for writing efficient queries, data manipulation, and analysis
- Working knowledge of data visualization techniques and tools using Matplotlib, Seaborn, etc.
- Experience working with time-series sensors data to perform robust engineering analyses
- Good organizational skills and an ability to prioritize and manage multiple projects simultaneously to meet deadlines
- Demonstrated ability to take on projects with a sense of ownership and entrepreneurial mindset
- Experience with distributed computing (Spark /Hive/Hadoop)
- First principles understanding of mechanical/electrical engineering concepts with relevant project/research experience
- Great fundamentals with thermodynamics, fluid mechanics, heat transfer, etc.
Responsibilities
- Analyze vehicle data and extract useful statistics/insights that drive actionable recommendations to improve product performance/quality and customer experience
- Write efficient SQL/Python code and complex queries across extensive data sets
- Build effective models to fuel analytical frameworks that drive material product improvements in hardware optimization, controls, and vehicle diagnostics
- Work effectively with engineers and conduct end-to-end analyses, from data requirement gathering, to data processing and modeling
- Identify, analyze, and interpret trends or patterns in complex data sets and depict the story via dashboards and reports
- Automate analyses and author pipelines using SQL, Python, and Airflow based ETL framework.
Preferred Qualifications
-
No preferred qualifications provided.