Data Scientist

  • Tesla
  • Fremont, CA, USA
  • Sep 18, 2022
Full-time Big Data Computer Science Data Science Excel Machine Learning MySQL Project Management Python R SQL

Job Description

What to Expect

The Residential Energy Installation Process Engineering team is responsible for architecting and deploying processes, data pipelines, predictive/causal inference models, and data applications that optimize installation of Solar Roof, Retrofit PV, and Powerwall products.

This is one of the most cross-functional and high visibility teams in Tesla Energy, owning technical and non-technical deliverables for design engineering, material planning and fulfillment, scheduling software, and field operations teams. Elon has said Tesla is a “whole chain of startups.” We are one of these, and you will be expected to take on a diverse range of responsibilities accordingly.

You will be asked to independently drive end-to-end ownership of technical and non-technical deliverables; generally, 1-2 month projects deploying production applications with significant business impact. These require a broad range of skills including data engineering, data science, machine learning engineering, process/systems engineering, and software engineering.

What You’ll Do

This full-stack role crosses significant functional and product lines, supporting all Tesla residential energy product lines including Solar PV, Powerwall, and Solar Roof. A highly-technical, curious, and organized individual is needed to thrive in this role. You need to care more about solving problems than the particular tools used to solve them. Example projects may include:

  • Labor hours model training and deployment 
  • Installation process and scheduling optimization 
  • Leveraging installer location data to inform task execution and automation 
  • Causal inference analyses for product pricing 
  • Supply chain/material flow demand modeling to inform part ordering and inventory management 
  • Ad-hoc data analysis to inform design engineering product development 
  • A/B testing customer-facing communications, modeling behavior impact

What You’ll Bring

  • Programming Languages: Python, SQL, R 
  • Tools: Git, Python IDE (VSCode, PyCharm), Atlassian (Jira, Confluence), Excel 
  • Strong experience with machine learning operations and pipeline deployment, including requirement gathering and constructing clean, feature engineered datasets 
  • Experience gathering and processing raw, structured, semi-structured, and unstructured data using batch and real-time data processing frameworks 
  • Strong experience working with relational databases (Vertica, MSSQL, MySQL, PostgreSQL) 
  • Significant exposure to data science and data engineering best practices (code quality) 
  • Proactively identify improvement opportunities (potential gaps between process and system) across all business functions, developing tools that allow for visibility into process bottlenecks and inconsistencies 
  • Technical project management experience driving independent and collaborative initiatives from problem definition to sustained deployment 
  • Experience learning/documenting systems architecture to deploy standard processes and communicate cross-functional needs
  • Preferred Data/Systems Engineer Job Description 3 B.S./M.S. in Computer Science, Data Engineering, Data Science, Software Engineering, Mathematics, Physics

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.

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