Data Scientist/Software Engineer, Reliability Engineering [Tesla ⚡]

:handshake: Company


:briefcase: Title

Data Scientist/Software Engineer, Reliability Engineering

:incoming_envelope: Apply here

:round_pushpin: Location

Palo Alto, California (USA)

:building_construction: 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)