Before u proceed below to check the jobs/CVs, please select your favorite job categories, whose top job alerts you want in your email & Subscribe to our Email Job Alert Service For FREE
Job Location: Palo Alto, CA
Job Detail:
What To Expect
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 and infrastructure for working with device data. These tools will be used across the team to improve our efficiency and also shared with the rest of the company so that those we do not directly support still benefit from our work.
What You’ll Do
- Work with stakeholders to take a vague problem statement, refine the scope of the analysis, and use the results to drive informed decisions
- Write reproducible data analysis over petabytes of data using cutting-edge open source technologies
- Summarize and clearly communicate data analysis assumptions and results
- Build data pipelines to promote your ad-hoc data analyses into production dashboards that engineers can rely on
- Design and implement metrics, applications and tools that will enable engineers by allowing them to self-serve their data insights
- Work with engineers to drive usage of your applications and tools
- Write clean and tested code that can be maintained and extended by other software engineers
- Operate and support your production applications
- Keep up to date on relevant technologies and frameworks, and propose new ones that the team could leverage
- Identify trends, invent new ways of looking at data, and get creative in order to drive improvements in both existing and future products
- Give talks, contribute to open source projects, and advance data science on a global scale
What You’ll Bring
- Strong proficiency in Python, SQL
- Strong foundation in statistics
- Experience building data visualizations
- Experience writing software in a professional environment
- Strong verbal and written communication skills
- 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
Nice To Have
- Experience with data science tools such as Pandas, Numpy, R, Matlab, Octave
- Experience with complex hardware systems
- Experience building data pipelines
- Experience building web applications
- Experience building machine learning models in a professional environment
- Experience with continuous integration and continuous development
- Experience in devops, i.e. Linux, Ansible, Docker, Kubernetes
- Understanding of distributed computing, i.e. how HDFS, Spark and Presto work
- Proficient in Scala
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.
Submit CV To All Data Science Job Consultants Across United States For Free
