Data Scientist/Software Engineer, Reliability Engineering

• Company Tesla
• No. of Openings 10+
• Salary Not Disclosed
• Work Type on-site

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)