Sr. Data Scientist


  • Full Time

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.

Sr. Data Scientist

Leading the future of luxury mobility
Lucid’s mission is to inspire the adoption of sustainable energy by creating the most captivating luxury electric vehicles, centered around the human experience. Working at Lucid Motors means having a shared vision to power the future in revolutionary ways. Be part of a once-in-a-lifetime opportunity to transform the automotive industry.

The Data Science and Machine Learning team at Lucid is on the mission to design, develop, and deploy AI solutions to help make safe and sustainable products and services on par with Lucid’s Luxury brand. Data generated by electric vehicles is rich and diverse and driving insight from them is a very exciting and challenging task. The Data Scientist at Lucid is setting data science foundation for our fast-growing data team, to enable the company tackle engineering and business challenges by designing analytics and AI solutions. This opportunity involves defining the path to discover trends, patterns and hidden insights from data while collaborating with the most brilliant talents in the automotive industry to build AI products.  
Location is flexible on west coast for exceptional candidates.


The Role


  • Work on state-of-the-art large-scale data science and machine learning projects
  • Help define the analytical direction and influence the direction of the Engineering teams.
  • Use mathematical techniques to arrive at an answer using data. Translate analysis results into business recommendations.
  • Partner with Engineering teams on projects to identify and articulate opportunities, see beyond the data to identify solutions that will raise the bar for decision making.
  • Extract actionable insights from broad, open-ended questions.
  • Adapt machine learning and data mining algorithms to solve problems across several engineering teams.
  • Use quantitative analysis and the presentation of data to see beyond the numbers and understand what can improve our processes.
  • Engage broadly with the organization to identify, prioritize, frame, and structure complex and ambiguous engineering challenges, where advanced analytics, AI and machine learning can have the biggest impact.



  • Advanced degree in Computer Science, Mechanical engineering, Statistics or related STEM field.
  • 3+ years of Data or Machine learning Science experience working on highly complex problems in a dynamic setting
  • Strong programming skills, especially in Python, or C/C++ with 5+ years of relevant experience in a programming intensive role.
  • Technical expertise and in-depth knowledge in one or more of the following ML topics: Anomaly detection and signal processing, time-series data analysis and modeling, Conventional Machine Learning methods, Computer Vision, Deep learning, CNNs, Natural Language Processing (NLP), text mining, sentiment analysis, information retrieval, etc.
  • Proficiency with a deep learning framework such as TensorFlow, Keras, Pytorch, Caffe, MXNet, etc.
  • Relevant work experience, including experience applying advanced analytics, and data mining techniques.
  • Experience with distributed computing platforms, particularly Kubernetes or the Hadoop/Spark ecosystem
  • Experience with data presentation and visualization with tools such as Tableau, Grafana and other similar tools.
  • Proven track record of developing and deploying algorithms for a production-ready recommendation, data mining or prediction systems using languages and big data platforms such as Scala, Python, Java, Spark, Presto, and Hive
  • Excellent communication and presentation skills.
  • Nice to Haves
  • Relevant experience in EV or Automotive, Transportation and autonomous driving is a huge plus
  • Experience with telematics data analytics and decision modeling is a plus
  • Hands-on experience with cloud computing and HPC or other cloud and distributed platforms e.g. Spark, Airflow, Kubernetes, Kubeflow, MLFlow, etc. is a plus.





    At Lucid, we don’t just welcome diversity – we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations.
    Notice regarding COVID-19 vaccination requirement as a condition of gainful employment within the United States
    At Lucid, we prioritize the health and wellbeing of our employees, families, and friends above all else. In response to the novel Coronavirus, and the increased transmissibility with recent variants, all new Lucid employees, whose job will be based in the United States, must provide original documentation confirming status as having received the prescribed inoculation (doses) based on the manufacturer’s guidelines on their first day of employment.
    Individuals seeking a medical and/or religious exemption from this requirement may be granted such an accommodation after submitting a formal request to and the subsequent review and approval thereof by our dedicated Covid-19 Response team.
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