Data Scientist II, 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 currently seeking a data scientist for the Powertrain Data Team. This position requires a unique blend of robust system integration background and advanced data analysis capabilities. This candidate will work with internal engineering teams across the entire powertrain organization and system engineers from our manufacturer.



Responsibilities:

• Collaborate with different engineering teams from the Powertrain organization to understand their project requirements and structure the project initiatives.
• Generate ETL/ELT data pipeline to automate data flows from test equipment to centralized data storage.
• Leverage internal data platform built on top of AWS, S3, Spark, Trino and provide customer fleet data analysis for fleet issues.

Qualifications:

• Strong proficiency in Python, SQL.
• Strong foundation in statistics.
• Strong background with Git, data analysis, and data modeling Python libraries.
• Proficient in using tools such as Jupyter notebooks, Superset, Airflow, and Spark.
• Understanding of distributed computing such as how HDFS, Spark, and Presto work.
• Experience with DevOps tools, Linux, Docker, and Kubernetes.
• Strong verbal and written communication skills.

Nice to have:

• Relevant experience in EV and auto industry is a plus.
• Prior knowledge of Labview is a plus.

Education:

• Bachelor’s degree plus 2 years in electrical engineering, computer science, or mechanical engineering. Master’s degree preferred.

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