Principal Data Scientist

Overview Toyota is a global leader in mobility, focusing on innovative, high‑quality solutions. We are looking for a Principal Data Scientist to drive data science and machine learning initiatives across quality, service parts, and manufacturing domains. This role reports to the Senior Manager, Data Science and Machine Learning. Responsibilities Lead and contribute to the end‑to‑end delivery of complex data science initiatives, including discovery, data exploration, experimentation, proof‑of‑concept, deployment, monitoring, and continuous improvement. Design and develop scalable machine learning, deep learning, computer vision, optimization, and generative AI solutions for business and manufacturing use cases. Translate ambiguous business problems into clear analytical approaches, technical designs, and deployable solutions that create measurable impact. Build production‑quality solutions using Python, PySpark, SQL, and enterprise data science platforms to support robust model development and operationalization. Partner with product managers, data engineers, ML engineers, domain experts, and business stakeholders to ensure successful implementation and adoption of data science solutions. Drive technical excellence in model evaluation, interpretability, robustness, performance tuning, and production readiness. Contribute to reusable frameworks, standards, and best practices that improve team productivity and solution quality. Qualifications Master’s degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, Economics, or a related quantitative field. Minimum of 5 years of relevant experience delivering data science solutions across the full lifecycle from proof‑of‑concept to production deployment. Hands‑on experience with machine learning, statistical modeling, deep learning, optimization, computer vision, and generative AI methods. Proficiency with Python, PySpark, SQL, and modern data science development practices for scalable and maintainable solutions. Additional Experience (beneficial) PhD in a related quantitative field. Experience applying data science in product quality, manufacturing quality, or related industrial quality domains. Experience in automotive or advanced manufacturing environments. Proficiency with GenAI agents, including designing and deploying agent‑based AI workflows. Experience working in AWS cloud and with enterprise platforms such as AWS SageMaker, Databricks, Spark, Airflow, and GitHub. Benefits Work environment built on teamwork, flexibility, and respect. Professional growth programs, tuition reimbursement, and career development opportunities. Team Member Vehicle Purchase Discount and Team Member Lease Vehicle Program (if applicable). Comprehensive health care and wellness plans for employees and families. Toyota 401(k) Savings Plan with company match and annual retirement contribution. Paid holidays and paid time off. Referral services related to prenatal services, adoption, childcare, schools, and more. Tax‑advantaged accounts (Health Savings Account, HSA, FSA, Dependent Care FSA). Applicants are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristic protected by law. #J-18808-Ljbffr