Data Scientist, Battery Manufacturing Development

What to ExpectTesla is looking to hire a Data Scientist to contribute to the development of the data factory and manufacturing software services for our cutting-edge battery products. This position will help drive technological advancement by delivering data and software solutions to solve high-volume manufacturing problems. Battery development is at the heart of Tesla's mission, and this is an exciting opportunity to address the central challenges in scaling electric vehicle manufacturing while seeing the physical impact of your work. Tesla is a demanding and fast-paced environment where you will work with a highly motivated team on extremely challenging projects.What You'll DoLeverage large-scale manufacturing data systems to extract key improvement insights and facilitate engineering investigationsDevelop robust and scalable algorithms/ predictive models to improve manufacturing process and quality control capabilitiesBuild self-serve data tools to empower data-driven manufacturingCollaborate with Software Engineers and Controls Engineers to seamlessly integrate models/ algorithms into production processesExperiment with data acquisition & processing approaches to enhance the quality of manufacturing dataClearly convey analyses and findings for cross-functional stakeholdersWhat You'll BringStrong experience with Python and SQL database queriesProficiency with large volume data preprocessing and data wranglingStrong mathematical/ statistical knowledge relevant to process control and monitoringExperience with data warehouse and data lake technologies such as Clickhouse, S3Experience with modern machine learning concepts and ML lifecyclesProficiency with data visualization techniques and tools using Tableau, R Shiny, Python Dash, Plotly, etc.Degree in quantitative fields such as Statistics, Data Science, Applied Mathematics, or equivalent experienceCompensation and BenefitsBenefitsAlong 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 deductionFamily-building, fertility, adoption and surrogacy benefitsDental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contributionCompany Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSAHealthcare and Dependent Care Flexible Spending Accounts (FSA)401(k) with employer match, Employee Stock Purchase Plans, and other financial benefitsCompany paid Basic Life, AD&D, short-term and long-term disability insuranceEmployee Assistance ProgramSick and Vacation time (Flex time for salary positions), and Paid HolidaysBack-up childcare and parenting support resourcesVoluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insuranceWeight Loss and Tobacco Cessation ProgramsTesla Babies programCommuter benefitsEmployee discounts and perks programExpected Compensation$108,000 - $216,000/annual salary + cash and stock awards + benefitsPay 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.