Role

Tesla is looking for an exceptional Data Analyst to impact the
Reliability Engineering team.

Responsibilities:

• Perform statistical analysis to quantify
  reliability risks in the field and identify emerging trends
• Create data visualizations to communicate analysis
  results and drive decision making
• Utilize vehicle fleet data for diagnostics and
  prognostics
• Perform correlation studies between manufacturing
  data and field performance to develop screening tests

Requirements

• Strong SQL, comfortable writing queries, data
  processing scripts, and understanding RDBMS data structures
• Strong Python, especially in a data
  analytics/science capacity where pandas/numpy are used heavily
• Strong analytical skills and knowledge of applied
  statistics including predictive analytics, time series analysis and machine
  learning. Working knowledge of reliability statistics such as Weibull Analysis
  preferred
• Able to visualize data effectively
  • Python (matplotlib/seaborn/plotly/etc)
  • Tableau (or, similar BI tools)
  • Any opensource/freeware viz tools (e.g., D3,
    ggplot)
• Ability to quickly learn new technologies
• Exposure to “big data” technologies,
  particularly any part of a Spark, HBASE, Hadoop stack
• BS in Computer Science, Physics, Electrical Engineering or proof of exceptional skills in related fields.