Job Location: Palo Alto, CA
Job Detail:
What To Expect
The reliability data team is looking for a Data Scientist/Software Engineer to utilize large-scale data and help Tesla engineers design and validate the most compelling and reliable products for our customers. The reliability data team collects real-time life data from test and fleet (energy, charging, and vehicle products) and is responsible for retrieving, analyzing, and summarizing results to cross-functional teams. The team provides support through the whole design cycle by building software tools that orchestrate all the reliability physics analyses. The level of this position will be determined at the time of the interview.
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)
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
$104,000 – $348,000/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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