Company
Tesla
Title
Data Scientist/Software Engineer, Reliability Engineering
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Location
Palo Alto, California (USA)
Job Description
What You’ll Do
- Build robust, flexible, and automated software tools to enable complex analysis of real-time fleet
- Apply statistical analysis to test (accelerated life) and field (life) data to inform reliability physics modeling/analyses and associated corrective actions
- Answer complex questions on fleet usage and behavior to enable proactive monitoring, grow reliability, and minimize field failures
- Work closely with Reliability and Design engineers to create/interpret/validate numeric models of fielded and in-test products
- Contribute to the automation and standardization of our data pipelines
- Build visualizations to effectively communicate results.
What You’ll Bring
- Bachelor’s degree or higher in quantitative discipline (e.g., Statistics, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or the equivalent in experience and evidence of exceptional ability
- Advanced knowledge of Python
- Strong knowledge of data structures, architectures, and languages such as SQL
- Solid understanding of statistics (Weibull distribution, Maximum Likelihood Estimation, Bayesian methods, Monte Carlo analysis, etc.)
- General knowledge of physics and engineering principles
- General Knowledge of data pipelining (Airflow Pipelines, ETL, Py Spark)
- Experience and interest in data visualization techniques
- Ability to problem solve and adjust priorities with little advance notice to meet deadlines
- Strong verbal and written communication skills
- Experience with Big Data ecosystem (Spark, Presto, Data Lake/Warehouse)
- Experience with quick web application development (e.g., Flask, Streamlit, Dash…)
- Experience with containerization (e.g., Docker)