Data Scientist, Battery Manufacturing Engineering

April 17, 2023
Offerd Salary:Negotiation
Working address:N/A
Contract Type:Other
Working Time:Negotigation
Working type:N/A
Ref info:N/A


What to Expect

  • Tesla is looking to hire a Data Scientist to contribute to the development and deployment of specialized manufacturing processes for our cutting-edge vehicle battery products. In this position, you will have access to data playgrounds across manufacturing processes and equipment globally and the opportunity to build and implement innovative data science services, models, and tools into production use. Battery development is at the heart of our company, and this is an exciting opportunity to work directly on the central challenges with electric vehicles – battery cost and performance. Tesla is a demanding and fast-paced environment where you will work with a highly motivated team on extremely challenging projects.
  • What You'll Do

  • Perform exploratory analyses and correlation studies on process-related inputs and outputs to facilitate the understanding of process mechanisms
  • Act as the owner/subject matter expert to collect and analyze data, identify process improvement opportunities, inform solution spaces, and drive the evaluation of their effectiveness
  • Develop and deploy sophisticated algorithms and predictive models using in-process and post-process data to improve manufacturing process monitoring/part quality prediction capability
  • Clearly convey results of data analyses in a way that is digestible by cross-functional stakeholders to facilitate the rapid development and deployment of solutions
  • Standardize the reporting architecture of key manufacturing line performance metrics (OEE, etc.) across various stations and processes
  • Determine what data should be collected and how on new manufacturing process and production lines
  • Develop frameworks and methodologies for experimental design (A/B test, RCA, GRRs, etc.)
  • Research and evaluate external data acquisition & processing software for process monitoring
  • What You'll Bring

  • BS, and/or MS in quantitative fields (Statistics, Data Science, Applied Mathematics, etc.)
  • 1+ years of experience in manipulating and analyzing complex & high-volume data from various sources
  • Proficiency with programming languages such as Python, R
  • Proficiency with relational and/or non-relational databases
  • Proficiency with data visualization techniques and tools using Tableau, R Shiny, Python Dash, Plotly, etc.
  • Strong mathematical/ statistical knowledge relevant to process control and monitoring
  • Experience with experimental design is a plus
  • Experience working with high-volume manufacturing data streams is a strong plus
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