Principal Data Scientist — AI & Supply Chain

toyota; Plano (TX); On-site; USD 170,000 - 250,000; Full time

Job summary

Toyota's Digital Innovations group within TMNA's Supply Chain organization seeks a highly experienced Principal Data Scientist to lead the technical strategy and execution of data science and AI initiatives. This role combines deep data science expertise with architectural leadership and cross-functional delivery across complex data and software portfolios.

You will shape technical approaches, lead modeling and product decisions, mentor teams, and partner with engineering, product, and business

Responsibilities

• Define and advance the technical approach for Supply Chain data science and AI products built on AWS, Databricks, and Azure, ensuring alignment with business priorities, enterprise architecture, data governance, and scalable delivery objectives.
• Lead architecture and design decisions across data science products and development teams, balancing business value, model quality, explainability, resiliency, security, maintainability, and cost optimization.
• Provide principal-level technical leadership across the full data science lifecycle, from discovery and problem framing through experimentation, model development, deployment, and operational support for analytics, forecasting, optimization, machine learning, and AI workloads.
• Mentor data scientists, machine learning engineers, technical leads, and engineering managers to elevate technical excellence and strengthen data science capability across the organization.
• When needed, directly lead technical work across development teams by setting priorities, coordinating execution, and establishing effective delivery rhythms across parallel workstreams.
• Drive disciplined execution through scaled agile delivery practices - clear user stories, defined acceptance criteria, effective dependency management, risk mitigation, and measurable outcomes across the data science product lifecycle.
• Work side by side with product, operations, architecture, and platform partners to turn Supply Chain priorities into actionable technical delivery plans for spend and cost analysis, supplier risk, demand forecasting, scenario planning, document intelligence, and AI-enabled decision support.
• Lead rigorous technical discussions and challenge model, data, and product decisions to ensure solutions meet business objectives, technical feasibility, responsible AI, data governance, and operational excellence standards.
• Establish and champion modern data

Job description

Toyota's Digital Innovations group within TMNA's Supply Chain organization seeks a highly experienced Principal Data Scientist to lead the technical strategy and execution of data science and AI initiatives. This role combines deep data science expertise with architectural leadership and cross-functional delivery across complex data and software portfolios.

You will shape technical approaches, lead modeling and product decisions, mentor teams, and partner with engineering, product, and business