Data Scientist

Lucid

  • 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.

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. 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 and Machine Learning products.  

Office location at Newark, California, or Beaverton, Oregon.

 

The Role

 

  • Work on state-of-the-art large-scale data science and machine learning projects
  • Use mathematical techniques to arrive at an answer using data. Translate analysis results into business recommendations.
  • Extract actionable insights from broad, open-ended questions.
  • Partner with other data scientist and machine learning engineers to identify and articulate opportunities across the company and adapt analytics, machine learning and data mining algorithms to solve problems across several engineering and business domains.
  • 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.
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    Qualifications

     

  • Advanced degree in Computer Science, Mechanical engineering, Statistics, or related STEM field or bachelor’s degree with 3+ years of experience.
  • Strong programming skills in Python, and SQL.
  • Technical mastery and in-depth knowledge in one or more of the following topics: Statistics, Anomaly detection and signal processing, time-series data analysis and modeling, Conventional Machine Learning methods, Statistical Learning, Computer Vision, Deep learning, CNNs, Natural Language Processing (NLP), text mining, sentiment analysis, etc.
  • Experience with deep learning framework such as TensorFlow, Keras, Pytorch, Caffe, MXNet, etc.
  • Relevant knowledge of applying advanced analytics, statistics, and data mining techniques.
  • Familiarity with data presentation and visualization with tools such as Tableau, Grafana, PowerBI, and other similar tools.
  • Excellent communication and presentation skills.
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    Nice to Have

     

  • Relevant experience in EV or Automotive, Transportation and autonomous driving is a plus
  • Experience with telematics data analytics and decision modeling is a plus
  • Experience with big data platforms such as Spark/Hadoop, Presto, and Hive is a huge plus
  • Hands-on experience with cloud computing and HPC or other cloud and distributed platforms e.g. Airflow, Kubernetes, Kubeflow, MLFlow, etc. is a huge plus.
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    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.
     
    To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.