Senior Data Scientist, Vehicle Safety

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 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
• Design and develop data science pipelines using PySpark, Scala, SQL for parallel processing
• Drive predictive analytics from billions of time series data points
• Help define the direction of Lucid’s safety analytics 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 analysis results into business recommendations
• Partner with internal stakeholders on projects to identify and articulate opportunities, see beyond the data to identify solutions that will raise the bar for decision making and make the vehicle safer
• Extract actionable insights from open-ended questions
• Adapt machine learning and data mining algorithms to solve problems ranging from rare event analytics to near-real time predictions for hundreds of thousands of vehicles
• Use quantitative analysis and the presentation of data to see beyond the numbers and understand what can improve our processes
• 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 on vehicle safety

Qualifications

• Ph.D. or Masters in Computer Science, Statistics, Operations Research, Mechanical Engineering, or related field
• 2+ years of Data or Machine learning Science experience working on highly complex problems in a dynamic setting
• Strong programming skills, especially in Python or Scala with 2+ years of relevant experience in a programming intensive role
• Technical expertise in one or more of the following Data Science topics: Time series data analysis and modeling, Advanced inferential statistics and probability, Rare event and risk modeling, Optimization and operations research, Machine Learning
• Hands-on experience in Automotive, Transportation or Manufacturing, ideally with a safety focus
• Experience applying advanced analytics and data mining techniques to drive decision making
• 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.

Nice to Have

• Bayesian statistics
• Experience with telematics data and decision modeling
• Familiarity with regulatory frameworks and standards regarding automotive safety (e.g. ISO 26262, FMVSS 208, ASIL)
• Experience with distributed computing platforms, particularly Kubernetes or the Hadoop/Spark ecosystem
• Experience with rule engine applications using distributed computing MapReduce, Spark, etc.

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 StatesAt 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.