Senior Engineer - Data Science

Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota.

As one of the world’s most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve.

We’re looking for talented team members who want to Dream. Do. Grow. with us.

Toyota does not offer support or sponsorship of job applicants for employment-based visas or any other work authorization for this role now or in the future. You must have the right to work in the United States and not require Toyota support or sponsorship for immigration-related employment (e.g., H-1B, O-1, E-3, H-1B1, TN, F-1 OPT, F-1 STEM OPT, F-1 CPT, ‘job flexibility benefits’ [also known as I-140 or Adjustment of Status portability], etc.)

now or in the future. You should not apply for this role if you will require Toyota to assist with immigration support or sponsorship now or in the future.

This position is based out of the Toyota Motor North America Headquarters in Plano, TX.

Toyota’s Digital Innovations group within TMNA’s Supply Chain organization is seeking a talented Senior Data Scientist to join our development team. This role will focus on implementing and maintaining high-quality data science and AI solutions while collaborating with senior team members to deliver value to our customers.

Reporting to the Senior Manager, Digital Innovations, the person in this role will support the Supply Chain transformation objectives and help accelerate the adoption of modern and emerging technologies and platforms.

You will work as part of a fusion team — engineers, product, and Supply Chain operators working to a shared goal and a shared backlog, rather than a technology group taking requests from a business group.

This is how Digital Innovations operates. Technical team members are assigned to fusion teams based on priority and need, and you should expect to move between teams and across different parts of the Supply Chain as those priorities shift.

• Implementing data science and AI solutions that align with architectural decisions, responsible AI practices, and enterprise standards.
• Designing, developing, and maintaining reproducible data preparation, feature‑engineering, modeling, and scoring workflows using Python, SQL, Databricks, and approved cloud services.
• Implementing and optimizing statistical, machine learning, forecasting, optimization, anomaly detection, natural language processing, and generative AI approaches that convert Supply Chain data into useful decision support.
• Working with Business Product Owners to refine requirements, analytical questions, measures of success, and acceptance criteria.
• Applying data quality, model validation, evaluation, explainability, and error‑analysis techniques to ensure the accuracy, reliability, and appropriate use of delivered solutions.
• Troubleshooting and resolving data, model, and application issues to ensure smooth project execution and dependable production operation.
• Collaborating with cross‑functional teams to integrate models, analytical services, dashboards, and AI capabilities into the product framework.
• Ensuring non‑functional requirements — security, privacy, performance, scalability, monitoring, and system integrations — are met through effective design and development.
• Using AI as an assistant across your daily work — analysis, coding, code review, testing, debugging, and documentation — to deliver better outcomes faster, while holding quality and review standards.
• Prototyping and experimenting to answer open questions quickly: build the smallest thing that tests the idea, measure what it…