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Data Scientist, Charging Data And Modeling

Company

Tesla

Address Palo Alto, CA, United States
Employment type FULL_TIME
Salary
Category Renewable Energy Semiconductor Manufacturing,Motor Vehicle Manufacturing,Utilities
Expires 2023-06-07
Posted at 1 year ago
Job Description
What To Expect
We are the charging-data-modeling team that uses data analytics to bridge the engineering, service, and deployment of Tesla’s charging infrastructure and to enhance the charging experience worldwide.
With over 40,000 Superchargers and several thousand destination charging sites around the world, Tesla’s charging infrastructure aims to accelerate the world’s transition to sustainable transportation by enabling electric mobility without compromises.
We use large-scale data analysis, machine learning, and modeling to retrieve actionable insights for enhancing the charging experience while minimizing the costs to Tesla. We also build the software tools and pipelines needed to maximize the leverage of these insights across our global operations.
What You’ll Do
Include, but are not limited to:
  • Use statistical modeling and machine learning to extract insights on fleet usage, trends, and performance.
  • Improve data-driven decision making through rigorous data analysis and clear communication with stakeholders.
  • Leverage insights to inform planning and optimization of the EV infrastructure.
  • Build reliable, fast, and dynamic data tools, pipelines, and web services.
  • Develop monitoring KPI’s for tracking network performance.
  • What You’ll Bring
    • Proficiency in SQL relational databases and/or NoSQL databases
    • Proficiency in data analysis, and data modeling in Python
    • Strong programming skills with a solid foundation in data structures and algorithms
    • Experience with time series data
    • Bachelor’s or Master’s in a quantitative field (e.g., Math, Statistics, Computer Science, Operations Research, Engineering)
    • Experience with geospatial datasets
    Preferred
  • Experience with experiment design and causal inference methods
  • Experience with Spark, Hadoop, and streaming data
  • Experience in an agile working environment
  • Experience working in a global team
  • Quantitative projects available online (github, blog posts, etc.)
  • 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.