Senior Decision Scientist: AI & Optimization for Supply Chain

Toyota; Plano (TX); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Team Member Vehicle Purchase Discount

Relocation assistance (if applicable)

Comprehensive health care and wellness

Job summary

Toyota Digital Innovations group in TMNA's Supply Chain is seeking a Senior Engineer - Decision Scientist to build and maintain high‑quality data science and AI solutions that support Supply Chain decisions. You will partner with engineers, product experts, and operators to deliver value across fusion teams.

You will design reproducible workflows in Python, SQL, and Databricks, implement optimization and ML approaches, and ensure security, performance, and scalability while driving rapid

Qualifications

• 5+ years in data science, ML, OR, or related fields.
• Experience delivering end-to-end data science or ML solutions for supply chain decisions.
• Strong collaboration with product, engineering, and operations teams.

Responsibilities

• Implement optimization, data science, and AI solutions aligned with enterprise standards.
• Develop reproducible data prep, feature engineering, modeling, and scoring workflows.
• Apply model validation, explainability, and monitoring to ensure reliability.
• Collaborate with Business Product Owners to refine requirements and acceptance criteria.
• Integrate models and analytics into product frameworks with dashboards and APIs.

Skills

Optimization & OR

Data science & ML

End-to-end data pipelines

Cross-functional collaboration

DevOps / MLOps

Tools

Python

SQL

Databricks

AWS

Apache Spark

Airflow / Step Functions

Job description

Toyota Digital Innovations group in TMNA's Supply Chain is seeking a Senior Engineer - Decision Scientist to build and maintain high‑quality data science and AI solutions that support Supply Chain decisions. You will partner with engineers, product experts, and operators to deliver value across fusion teams.

You will design reproducible workflows in Python, SQL, and Databricks, implement optimization and ML approaches, and ensure security, performance, and scalability while driving rapid