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Sr. Battery Data Scientist

Company: Rivian Automotive
Location: Palo Alto
Posted on: September 22, 2022

Job Description:


  • Build machine learning models to provide valuable estimations and predictions to the product and the user. Interface closely with the battery experts (modeling/electrochemical/mechanical/thermal/software) and engineers to define features & metrics from the domain knowledge.
  • Work with vehicle telemetry data at scale to provide insightonthe battery health, performance, and powertrain efficiency of Rivian products
  • Work with battery scientists to improve state of health estimation for batteries based on field data models.
  • Develop statistical and machine learning models for predicting and forecasting field failures, cell chemistry variations, battery health degradation and how various driving behaviors affect battery performance for safety and drivability.
  • Build scalablefull stack infrastructure and data pipelines toaggregate telemetry and service datain order to monitor and predict failures in the field.
  • Research and development of multivariate models for prognostics applications, predictive maintenance, and battery state of health estimation, battery health coaching.
  • Run cloud-based data models to assist improving battery power and energy estimation based on current, voltage and temperature data points across various drive cycles and geographies.
  • Work with embedded systems engineers to bring cloud-based data models to run on embedded systems.


    • Must have 3 or more years of industry experience in a data science or software engineering role or Masters/PhD. Level of role depends on experience and qualifications.
    • Ideally 3-5 years' experience in battery domain, focusing on hardware and engineering
    • Minimum:

      • Experience working with data in Apache Spark, Pythonand SQL
      • Strong fundamentals in software engineering with Python
      • Understanding ofstatisticaland machine learning concepts
      • Datavisualizationandcommunicationbest practices

      • Ideal:

        • Experience with cloud infrastructure such as AWS with Terraform/Docker
        • Programminginmultiplelanguages, such asGolang/Scala/C/C++
        • Experience with battery prognostics and health management
        • Working knowledge of mathematical or advanced machine learning concepts
        • Experience with reinforcement learning

Keywords: Rivian Automotive, Palo Alto , Sr. Battery Data Scientist, Other , Palo Alto, California

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