Principal Data Scientist (Plano)

Overview

Toyota’s OneTech Data Science and Machine Learning Department seeks a Principal Data Scientist to lead the design, development, and industrialization of advanced data science and machine learning solutions across quality, service parts, and manufacturing domains. This role reports to the Senior Manager, Data Science and Machine Learning and requires a candidate who has the right to work in the United States and does not require visa sponsorship.

Responsibilities

• Lead and contribute to end‑to‑end delivery of complex data science initiatives across 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 and a minimum of 5 years of relevant experience.
• Strong hands‑on experience delivering data science solutions from proof‑of‑concept to production deployment.
• Technical expertise in 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.
• 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, orchestrating, or deploying agent‑based AI workflows.
• Experience working in AWS cloud and with enterprise platforms such as AWS SageMaker, Databricks, Spark, Airflow, and GitHub.
• A PhD in a related quantitative field is an added bonus.

EEO Statement

Applicants for our positions 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 characteristics protected by law.

Benefits

• Comprehensive health care and wellness plans for the entire family.
• 401(k) Savings Plan with company match and annual retirement contribution.
• Paid holidays and paid time off.
• Professional development programs and tuition reimbursement.
• Vehicle purchase discount and lease vehicle program for Toyota Team Members.
• Health Savings Account, Health Care FSA, and Dependent Care FSA.