About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what's possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Role Summary The Sr. Data Scientist, Plant Quality Systems will play a critical role in enhancing vehicle quality and manufacturing efficiency by leveraging advanced analytics, machine learning, and statistical modeling. This individual will work closely with manufacturing, engineering, and quality teams to identify root causes of quality issues, predict potential defects, and optimize production processes. The ideal candidate will be a proactive problem-solver with a strong background in data science and a deep understanding of manufacturing environments. This role is located in Normal, IL and will report to the Manager, Plant Quality Systems and Data Engineering Responsibilities • Design, develop, and implement advanced statistical models, machine learning algorithms, and predictive analytics solutions to identify, predict, and prevent quality defects in the manufacturing process. • Analyze large, complex datasets from various plant systems (e.g., manufacturing execution systems, quality control systems, sensor data, supplier data, warranty data) to uncover insights and trends. • Develop and maintain robust data pipelines and data processing frameworks to ensure data quality and accessibility for analysis. • Collaborate with cross-functional teams (e.g., manufacturing engineers, quality engineers, production supervisors) to perform deep-dive root cause analysis on critical quality issues. • Utilize data-driven insights to recommend and implement corrective and preventive actions, driving tangible improvements in product quality and reducing scrap/rework. • Develop dashboards and visualizations to monitor key quality metrics and communicate findings to stakeholders at all levels. • Build predictive models to forecast potential quality issues based on process parameters, material characteristics, and operational data. • Identify opportunities for process optimization and automation through data analysis, leading to improved efficiency and reduced variability. • Evaluate the effectiveness of implemented solutions and refine models based on real-world performance. • Stay abreast of the latest advancements in data science, machine learning, and manufacturing analytics. • Propose and experiment with new methodologies and technologies to enhance quality analysis and predictive capabilities. • Mentor junior data scientists and contribute to building a data-driven culture within the plant quality organization. • Clearly articulate complex analytical findings and recommendations to both technical and non-technical audiences. • Build strong relationships with stakeholders across different departments to ensure alignment and successful project execution. Qualifications • Education: Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, or a related quantitative field. Ph.D. is a plus. • Experience: 5+ years of experience in a data scientist role, with a strong preference for experience in manufacturing, automotive, or a similarly complex industrial environment. • Proficiency in programming languages such as Python (Pandas, NumPy, Scikit-learn, TensorFlow/Keras, PyTorch) and/or R. • Strong expertise in statistical modeling, hypothesis testing, regression analysis, time series analysis, and experimental design (DOE). • Extensive experience with machine learning algorithms (e.g., classification, clustering, anomaly detection, deep learning). • Proficiency in SQL for data extraction and manipulation. • Experience with data visualization tools (e.g., Tableau, Power BI, Qlik Sense). • Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus. • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud Platform) for data science workflows is a plus. • Understanding of manufacturing processes, quality control methodologies (e.g., Six Sigma, Lean Manufacturing, SPC), and automotive industry standards (e.g., IATF 16949) is highly desirable. • Experience with sensor data analysis and IoT applications in a manufacturing context is a strong advantage. Pay Disclosure Salary Range/Hourly Rate for Illinois Based Applicants: $123,100 - $154,000 (actual compensation will be determined based on experience, location, and other factors permitted by law). Benefits Summary: Rivian provides robust medical/Rx, dental and vision insurance packages for full-time employees, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment, and Rivian covers most of the premiums. Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at Candidate Data Privacy Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian's service providers, including providers of background checks, staffing services, and cloud services. Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please note that we are currently not accepting applications from third party application services.