Senior Data Scientist, Vehicle Efficiency

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.

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 it is a very exciting and challenging task. This opportunity involves creating end-to-end AI solutions from design and development to delivery of data-driven services and products utilizing AI, big data, cloud, and edge computing.

 

The Role

 

  • Work on state-of-the-art large-scale data analytics and machine learning projects
  • Derive insights from in-vehicle measured signals, understand and model electric vehicle efficiency, including energy consumption, transformation, and losses
  • Drive data driven predictive analytics, fault detection, and optimization of electric vehicle components from billions of measurements
  • Adapt machine learning and data mining algorithms to solve problems across several teams
  • Design and develop data science pipeline using PySpark, SQL, Airflow for parallel big data processing
  • Help define the analytical direction and influence the direction of the associated engineering and infrastructure work
  • Articulate business questions and use mathematical techniques to arrive at an answer using data. Translate results into business and engineering recommendations
  • Partner with internal stakeholders on projects to identify and articulate opportunities, see beyond the data to identify solutions that support decision making
  • Lead projects with hands-on analysis and modeling, drawing from multiple analytical methods to choose the right tool and right level of complexity appropriate for the challenge
  • Engage broadly with the organization to identify, prioritize, frame, and structure complex and ambiguous challenges, where advanced analytics projects or tools can have the biggest impact.
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    Qualifications

     

  • Ph.D. or Masters in Computer Science, Statistics, Physics, Engineering, Operations Research or related field
  • 3+ years of Data or Machine learning Science experience working on highly complex problems in a dynamic setting
  • Strong programming skills in Python, Pyspark, SQL with 3+ years of relevant experience in a programming intensive role
  • Technical expertise in one or more of the following Data Science topics: Statistics, time-series data analysis and modeling, Traditional Machine Learning methods, Deep learning and CNNs, Optimization and operations research
  • Relevant work experience, including experience applying advanced analytics, and data mining techniques
  • Experience with rule engine applications using distributed computing MapReduce, Spark, etc.
  • Experience with data presentation and visualization with tools such as Tableau, Zeppelin 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
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    Nice to Have

     

  • General understanding of mechanics, electrodynamics, thermodynamics, or aerodynamics is a big plus
  • Relevant experience in Automotive, Transportation or Manufacturing
  • Experience with telematics data analytics and decision modeling is a plus
  • Proficiency with a deep learning framework such as TensorFlow, Keras, Pytorch, Caffe, MXNet, etc.
  • Experience with Natural Language Processing (NLP), text mining, sentiment analysis, information retrieval, etc.
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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.
     
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