Data Scientist II, Drive Unit Powertrain Data

Leading the future in luxury electric and mobility

At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.

We plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.

Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we’re providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you.

We are seeking a passionate and analytical Data Scientist to support the Powertrain Drive Unit team, focusing on electric motor systems, gear reduction, power electronics, and thermal management. This role will enable data-driven decision-making across design, R&D, manufacturing, and field operations by transforming raw data into actionable insights.

The ideal candidate will combine a solid foundation in data science with an understanding of engineering systems to deliver impactful analytics, enhance operational performance, and support product improvement initiatives. This includes developing robust dashboards, performing advanced analyses, and working closely with cross-functional teams to ensure data integrity and alignment with business objectives.

Key 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.

Required Qualifications :

Preferred Qualifications :

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