Lucid is seeking a Data Scientist to support their Powertrain Battery and Charging teams. The role will focus on charging system fault and failure prediction, and battery model development, aiming to provide data-driven decision-making across various departments.
Requirements
- Proficient in Python, SQL, and PySpark for data analysis, automation, and visualization.
- Practical experience with dashboarding tools such as Tableau and Apache Superset.
- Background in machine learning algorithms using frameworks like TensorFlow or PyTorch.
- Background in Mechanical or Electrical Engineering with a solid understanding of charging systems and battery fundamentals.
- Experience in developing models using deep learning algorithms.
- Industry experience in the automotive or electric vehicle (EV) domain, with a focus on EV charging systems, battery pack manufacturing processes, or battery management system analytics.
Responsibilities
- Collaborate with engineering teams to define and track key performance indicators (KPIs) for charging performance, battery management systems, and battery pack manufacturing processes.
- Design and develop interactive dashboards and automated reports to visualize system performance, degradation trends, and operational insights.
- Conduct exploratory data analysis and apply statistical modeling to support root cause investigations and reliability engineering efforts.
- Lead efforts to enhance data quality, standardization, and infrastructure scalability across teams and systems.
- Effectively communicate technical findings to diverse audiences, including executives, engineers, and manufacturing stakeholders.
Other
- Bachelor’s degree with 4+ years of experience, or Master’s degree with 2+ years, in Data Science, Engineering, Statistics, or a related field.
- Excellent problem-solving skills, with strong attention to detail and the ability to excel in fast-paced, engineering-driven environments.
- Effective communicator with proven ability to collaborate across both technical and non-technical teams.
