Data Engineer, Cell Quality Specialist

4 weeks ago

Fremont, California, United States Tesla Full time
Job Description

The Cell Quality team at Tesla is seeking a highly skilled Data Engineer to support daily fleet diagnostics and analytics activities. The ideal candidate will have a strong background in data analysis, statistical modeling, and data visualization.

Responsibilities:

  • Perform extensive data study on all field failures and correlation studies with upstream cell manufacturing process.
  • Create test models to ensure proper detection and outlier rejection criteria for field rejects.
  • Identify trends from field return data and quantify reliability risks for diagnostics of key critical signals/metrics and potential deviation from cell/firmware specifications.
  • Create data visualizations to communicate analysis results with cross-functional teams and drive decision making of key failure modes on field.
  • Analyze Field Reliability/Quality data for cell related failures and failure modes to predict expected failure rates, affected populations, verify effectiveness of the corrective actions at Tesla and at suppliers.
  • Produce cogent and intelligible data visualizations, author technical presentations and summarize high-impact technical findings with strong data analysis package.

Requirements:

  • Strong SQL, Python queries for data analytics, applied knowledge of statistical analysis (like hypothesis testing), time series analysis, working knowledge of reliability statistics such as Weibull Analysis.
  • Experience building optimal ETL data pipelines across structured and unstructured data sources.
  • Strong data visualization skills Tableau/JMP, and Python packages such as seaborn, matplotlib.
  • Working knowledge of Big Data technologies like Hadoop ecosystem (Spark, HDFS, Presto etc.).
  • Excellent verbal and written communication skills - ability to break down complex technical topics and deliver visual technical presentations (e.g., PowerPoint) to groups of engineers, scientists, and technicians.
  • Degree in Data Science, Data Analytics, Computer Science, Engineering (Industrial Engineering, Mechanical Engineering, Materials Science is a plus) or equivalent experience.
  • Experience to recommend statistical/analytical models based on manufacturing data and process setup changes to improve quality of product preferred.
  • Quality control experience in test/manufacturing environment preferred.
  • Design of experiments for process optimization preferred.

Benefits:

  • Competitive pay
  • Aetna PPO and HSA plans
  • Family-building, fertility, adoption and surrogacy benefits
  • Dental (including orthodontic coverage) and vision plans
  • Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA
  • Healthcare and Dependent Care Flexible Spending Accounts (FSA)
  • LGBTQ+ care concierge services
  • 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
  • Company paid Basic Life, AD&D, short-term and long-term disability insurance
  • Employee Assistance Program
  • Sick and Vacation time (Flex time for salary positions), and Paid Holidays
  • Back-up childcare and parenting support resources

Voluntary benefits to include:

  • Critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
  • Weight Loss and Tobacco Cessation Programs
  • Tesla Babies program
  • Commuter benefits
  • Employee discounts and perks program

Expected Compensation:

$104,000 - $174,000/annual salary + cash and stock awards + benefits

Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

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