Sr. Data Scientist job opportunity at Lucid Motors, Inc..



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Lucid Motors, Inc. Sr. Data Scientist
Experience: 3-years
Pattern: full-time
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Salary:
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Strategy Data Science

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loacation Newark, CA, United States Of America
loacation Newark, CA....United States Of America

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 AI & Machine Learning team at Lucid is dedicated to designing, developing, and deploying advanced AI systems that enhance the safety, intelligence, and sustainability of our luxury electric vehicles. Our cars generate an extraordinary breadth of high-resolution data—from time-series signals to sensor fusion outputs—and transforming this data into actionable intelligence is both a complex challenge and a tremendous opportunity. As a Data Scientist on our AI and Machine Learning team, you will build enterprise-scale generative AI and predictive modeling solutions that power engineering insights, improve vehicle performance, elevate the customer experience, and unlock new efficiencies across manufacturing, engineering, sales, and service. You will help define Lucid’s GenAI technology roadmap and play a key role in influencing AI strategy across the company. You Will: Develop and apply state-of-the-art Generative AI, statistical modeling, and machine learning techniques to large-scale, high-dimensional vehicle and enterprise datasets. Drive predictive analytics and anomaly-detection models using billions of time-series data points from our global fleet. Shape analytical direction and partner closely with Engineering to influence design decisions with high-quality data science insights. Translate complex analyses into clear recommendations that drive product, engineering, and business outcomes. Extract insights from broad, ambiguous problem statements—framing challenges, determining the right analytical approach, and delivering measurable impact. Adapt machine learning, data mining, and signal-processing algorithms to real-world applications across engineering, and operations. Communicate complex findings clearly through quantitative storytelling, dashboards, and presentations. Engage cross-functionally to structure and prioritize analytical initiatives that address Lucid’s most critical manufacturing and product challenges. You Bring: Advanced degree in Computer Science, Mechanical Engineering, Statistics, Data Science, or related STEM discipline. 3+ years of experience as a Data Scientist or Machine Learning Scientist solving highly complex problems in fast-paced, data-rich environments. Strong programming proficiency in Python, Scala, or C/C++ with 3+ years in a programming-intensive role. Proven experience with LangGraph/LangChain or equivalent orchestration platforms, and advanced expertise in prompt engineering and building scalable RAG systems. Deep expertise in one or more areas such as: GenAI, Reinforcement Learning, Fine-tuning and RAG systems Time-series modeling & signal processing Anomaly detection Classical ML methods Deep learning & CNNs NLP, text mining, sentiment analysis Information retrieval Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, Keras, Caffe, MXNet, etc.). Demonstrated success developing and deploying production-grade ML or anomaly-detection systems using Python, C/C++, Java, or big-data platforms. Excellent communication and presentation skills; ability to influence technical and non-technical stakeholders.             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. Salary Range: The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors.  Base Pay Range (Annual)$154,000 - $211,750 USD Additional Compensation and Benefits: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs.  (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.) By Submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice. If you are a California resident, please refer to our California Candidate Privacy Notice. 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.   

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