Data Scientist, Reliability Engineering

Full time

Employment Information

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What to Expect

The Reliability Data Science team is looking for an exceptional Data Scientist/Software Engineer to utilize large-scale data and help Tesla design and validate the most compelling and reliable products for our customers. We collect real-time life data from test, factory and fleet of Vehicle & Energy products and develop data-driven models to unlock decision making on prognostics and targeted design actions. The role is high impact driving Prognostics and Warranty modeling efforts within the entire company.

The level of this position will be determined at the time of the interview.

What You’ll Do

  • Develop predictive models of physical degradation, failures and data-driven prognostics algorithms
  • 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
  • Keep up to date with advances in machine learning, particularly in the areas of data-driven prognostics, physics-based machine learning

What You’ll Bring

  • Bachelor’s degree or higher in quantitative discipline (Statistics, Computer Science, Mathematics, Physics) or the equivalent in experience and evidence of exceptional ability
  • Strong knowledge of Statistics and Machine Learning (including Bayesian statistics, survival analysis…)
  • Strong Proficiency in Python (or any other programming language such as C, C++, Rust)
  • Experience with MLOps and building machine learning pipelines in professional settings
  • Strong knowledge of algorithms, data structures, architectures
  • General knowledge of physics and engineering principles
  • Strong verbal and written communication skills

Nice to have

  • Experience with DevOps and containerization (Ansible, Docker, Kubernetes)
  • Working knowledge of the Big Data ecosystem (Spark, Presto, Data Lake/Warehouse)
  • Record of coming up with new ideas (or improving upon existing ideas) in statistical modeling or machine learning, demonstrated by accomplishments such as first author publications or projects

Compensation and Benefits

Benefits Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

  • Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction
  • Family-building, fertility, adoption and surrogacy benefits
  • Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
  • 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 $84,000 - $276,000/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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