Lucid Motors is seeking a Data Scientist to support the Powertrain Drive Unit team, focusing on electric motor systems, gear reduction, power electronics, and thermal management. The goal is to enable data-driven decision-making across design, R&D, manufacturing, and field operations by transforming raw data into actionable insights, enhancing operational performance, and supporting product improvement initiatives.
Requirements
- Proficient in Python, SQL, and PySpark for data analysis, automation, and visualization.
- Hands-on experience with dashboarding tools such as Tableau, Power BI, Apache Superset, or Plotly Dash.
- Understanding of data engineering practices including ETL pipelines, data lakes, and cloud platforms (e.g., AWS).
- Background in mechanical or electrical engineering, with the ability to interpret component-level performance data (e.g., torque, temperature, efficiency, vibration).
- Experience with developing web-based data apps using Streamlit, Flask, or React.
- Familiarity with big data tools like PySpark, Apache Airflow, and distributed processing frameworks.
- Experience in automotive or EV domains, especially within motor control, inverter, or thermal management analytics.
Responsibilities
- Collaborate with engineering teams to define and monitor KPIs for electric drive systems, power electronics, and thermal subsystems.
- Develop interactive dashboards and automated reports to visualize system performance, degradation trends, and production health.
- Perform exploratory data analysis and statistical modeling to support root cause investigations and reliability engineering.
- Integrate physical modeling and sensor data to support predictive maintenance and anomaly detection use cases.
- Lead initiatives to improve data quality, standardization, and infrastructure scalability.
- Communicate technical findings to a broad audience, 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.
- Strong problem-solving skills with a detail-oriented mindset and ability to thrive in a fast-paced, engineering-driven environment.
- Excellent communication and collaboration abilities across technical and nontechnical teams.
