Data Science Engineer, Battery & Cell

Newark, CA

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Lucid Motors
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Posted 3 weeks ago

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.
We are currently seeking a Data Science Engineer to develop advanced Li-ion battery & battery cell analytical tools to perform data management, data mining and trend analysis, statistical analysis, and support data driven model development and continuous improvement. This position requires a creative and analytical mindset with a strong understanding of data architectures, including modern approaches to cloud data storage, pattern recognition, and machine learning. The successful candidate should also have a solid understanding of the physical sciences in lithium-ion batteries.
Our ideal candidate exhibits a can-do attitude and approaches his or her work with vigor and determination. A successful candidate should be a quick learner and detailed oriented. This position will be expected to possess the ability to strive for perfection within a fast-paced environment. Junior level candidates with solid data science background, and senior level candidates with broader battery data analysis experience and additional skill sets are both encouraged to apply.

Role

  • Develop data analytical tools to integrate battery data collected from Lucid vehicles into the Lucid cloud, and provide a variety of data trend reviews on vehicle/pack/cell data
  • Work with Cell Engineering team to develop data analytical tools to correlate cell/pack test data to vehicle cloud data
  • Work with Battery Management System team to support development of cutting-edge algorithms and analytics and develop physics-based signals of battery degradation or other conditions of interest
  • Work with Battery Management System and Cell teams to develop on-line methods of estimating battery health based on available physical data from the vehicle
  • Develop goals for identifying interesting patterns including aging behavior, drive habits, data anomalies, and other pattern recognition concepts by machine learning or any other algorithms for further related applications
  • Develop various data processing, viewing, managing, and analytical tools to support cell/pack engineering development in cross-functional teams
  • Review academic literature to identify and implement algorithms based on emerging research
  • Support advanced deep learning models and tools for data analysis and optimization
  • Deliver documents related to data analytics algorithm development
  • Work with intellectual property team to patent your inventions
  • Collaborate with battery team to determine and achieve battery performance and lifetime targets

Qualifications

  • Fundamental knowledge of lithium-ion cell electrochemistries and mechanisms
  • 3+ years of work experience in data science, preferable in energy storage and EV fields
  • 3+ years experience with Python, R, AWS, and database design and implementation
  • Demonstrated experience developing and launching analytic platforms based on data science
  • MS or PhD required in Chemistry, Engineering, Physics with supporting degree of Computer Science, Mathematics, or Data Science related Engineering preferred
  • Familiar with battery testing equipment and test protocol
  • Experience in writing efficient code to process and analyze large data sets
  • High level of mathematical and advanced data process and analysis capabilities
  • Excellent communication skills and team-oriented attitude
  • Comfortable with initiating and taking ownership of projects

Preferred

  • Skilled in code developing tools such as Python, R or Matlab
  • Strong understanding of algorithm design, optimization, and verification
  • Good mathematical knowledge and experience in statistical analysis, optimization, machine learning, and deep learning tools
  • Candidates with successful multidisciplinary work record or education background

Education

  • MS or PhD degree in EE, ME, CS, Math, Physics, Chemistry, Materials
Be part of something amazing
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.
At Lucid, we don’t just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace and is an affirmative action employer.  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.
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. 
Job tags: AWS Data Analytics Data Mining Deep Learning Engineering Machine Learning Matlab Python R Research
Job region(s): North America
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