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What to ExpectWhat You’ll DoWhat You’ll Bring
Data is deeply embedded in the product and engineering culture at Tesla. We rely on data – lots of it – to improve autopilot, to optimize hardware designs, to proactively detect faults, and to optimize load on the electrical grid. We collect data from each of our cars, Superchargers, and energy storage devices to make these products better and our customers safer.
We're the Fleet Analytics team, a central team that helps many teams leverage the data we collect. We help engineers through direct support by doing data analysis for them and through applications and tools so they can self-serve those analyses in the future. To do so, we leverage our internal data platform built on top of AWS, S3, Spark, Trino using open-source data science tools such as Jupyter notebooks, Pandas, Bokeh, Superset, and Airflow. Our work has a direct impact on Tesla's product and enables the work of hundreds of engineers across disciplines throughout the company.
We're looking for a talented engineer to own the full breadth of Data Engineering, data analysis, and data science activities for one of our partner engineering teams. You will leverage Tesla's wealth of device data and a first-principles approach to problem solving to inform future hardware and firmware designs, as well as ensuring that our existing vehicles, chargers, and energy devices continue to perform to Tesla's exacting standards. In this embedded role you will partner with a team focusing on another discipline (e.g., mechanical engineering, electrical engineering, or firmware engineering), joining their projects to help define product requirements, optimize control algorithms, or otherwise improve the product quality. You will also work with other members of Fleet Analytics for peer reviews, technical growth, and to build sophisticated tools and infrastructure for working with device data. These tools will be used across the team to improve our efficiency and shared with the rest of the company so that those we do not directly support still benefit from our work.
- Work with stakeholders to take a vague problem statement, refine the scope of the analysis, and use the results to drive improvement in Tesla’s products
- Write reproducible data analysis over petabytes of data using cutting-edge open source technologies, then summarize and clearly communicate analysis assumptions and results
- Build data pipelines to promote your ad-hoc data analyses into production dashboards on which other engineers can rely
- Design, implement and maintain metrics, applications and tools that will enable engineers by allowing them to self-serve their data insights
- Write clean and tested code that can be maintained and extended by other software engineers
- Keep up to date on relevant technologies and frameworks, and propose new ones that the team could leverage
- Give talks, contribute to open source projects, and advance data science on a global scale
- Strong proficiency in Python, SQL, and building data visualizations
- Strong foundation in statistics
- Experience writing software in a professional environment
- Strong problem-solving skills to help refine problem statements and figure out how to solve them with the available data
- Curious and driven to solve complex problems
- Smart but humble, with a bias for action
- Experience with Scala a plus
Compensation and Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
$80,000 - $258,000/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.
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
$80,000 - $258,000/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.
Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.
Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.
