Sr. Data Scientist, Cybersecurity

Newark, CA

Full Time Senior-level / Expert
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Lucid Motors
Lucid is a luxury mobility company reimagining what a car can be.
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Leading the future in luxury electric and mobilityAt 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 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. Notice regarding COVID-19 Vaccination for positions located in Newark, CaliforniaAt Lucid (the “Company”), 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 Lucid Employees whose employment is based in Newark, current and future, must be fully vaccinated and provide proof thereof as a condition of continued or future employment with the Company. Accommodations due to medical or religious exemptions will be considered.
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 security challenges by designing analytics and AI solutions. This opportunity involves defining the path to discover trends, patterns and hidden cyber-attacks from system and sub-system level communication and protocols as well as telemetry data while collaborating with the most brilliant talents in the automotive industry.  

Role

  • Work on the state-of-the-art large-scale data analytics and machine learning projects
  • Drive predictive analytics from billions of time series data points
  • 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 Cybersecurity 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 security 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 manufacturing related challenges, where advanced analytics projects or tools can have the biggest impact.

Qualifcations

  • 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, Scala or C/C++ with 3+ years of relevant experience in a programming intensive role.
  • Experience with security information and event management (SIEM) systems and concepts like denial-of-service (DoS) or distributed denial-of-service (DDoS) attacks.
  • Technical expertise and in-depth knowledge in one or more of the following Data Science topics: Anomaly detection and signal processing, time-series data analysis and modeling, Conventional Machine Learning methods, Deep learning and CNNs, text mining, sentiment analysis, information retrieval, etc.
  • Proficiency with a deep learning framework such as TensorFlow, Keras, Pytorch, Caffe, MXNet, etc.
  • Proven track record of developing and deploying algorithms for a production-ready anomaly detection, or prediction systems using languages and big data platforms such as Python, C/C++, or Java.
  • Excellent communication and presentation skills.

Nice to Haves

  • Relevant experience in Cybersecurity, EV, or Automotive is a huge plus
  • Experience with embedded devices is a plus
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 region(s): North America
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