Senior Engineer - Decision Scientist

Toyota•Plano, TX

2d•Onsite

About The Position

Toyota's Digital Innovations group within TMNA's Supply Chain organization is seeking a Senior Engineer - Decision Scientist to implement and maintain high-quality data science and AI solutions. The role supports Supply Chain transformation objectives and adoption of modern and emerging technologies and platforms. It is based at Toyota Motor North America Headquarters in Plano, Texas, and reports to the Senior Manager, Digital Innovations. The position works within cross-functional fusion teams of engineers, product professionals, and Supply Chain operators who share goals and backlogs. Team members may move between teams and Supply Chain areas as priorities change. The role combines implementation of analytical and AI capabilities with collaboration with product owners and end users, experimentation, and continuous improvement of team practices.

Requirements

Proficiency in optimization, simulation, operations research, or scenario planning for cost, sourcing, supplier, inventory, logistics, or allocation decisions, and experience with solvers such as Gurobi.
At least 5 years of hands-on experience with modern technologies in operations research, data science, machine learning, statistical analysis, and data integration.
At least 5 years of experience creating end-to-end data science or machine learning solutions that handle large data volumes and support Supply Chain decisions, business analytics, or operational products.
At least 3 years of hands-on experience with Python, SQL, data preparation, model development, and reproducible analytical workflows.
Practical understanding and experience with cloud-based data and machine learning technologies such as AWS, Apache Spark, Databricks, AWS Redshift, and S3, and orchestration tools such as Apache Airflow or AWS Step Functions.
Hands-on experience with technical design, model and application development, conducting code reviews, and driving code quality.
Experience monitoring data quality, model performance, application health, and error notifications with tools such as Datadog, CloudWatch, Grafana, or comparable platforms.
Experience packaging and deploying analytical or machine learning capabilities through batch pipelines, APIs, dashboards, or workflow applications, with appropriate security and release practices.
Strong understanding of DevOps and MLOps practices, CI/CD pipelines, agile methodologies, and version control systems such as Git.
Ability to resolve technical challenges and complex problems, identify root causes, and understand the business problem before selecting a solution.
Experience with functional and non-functional requirements, including security, privacy, performance, scalability, explainability, and responsible AI considerations.
Excellent communication skills and ability to collaborate effectively across cross-functional teams.
Demonstrated use of AI tools as an assistant in data science workflows, with sound judgment about their use and the ability to maintain quality and review standards.
Curiosity about emerging technology and willingness to experiment, learn from unsuccessful approaches, and share findings with the team.
Comfort working in a cross-functional fusion team and moving across Supply Chain areas as priorities change.
Must have the right to work in the United States without Toyota immigration-related employment support or sponsorship now or in the future.

Nice To Haves

Familiarity with AI concepts such as machine learning, generative AI, prompt engineering, model evaluation, AI governance, and responsible-AI considerations.
Experience using GitHub Copilot within secure development workflows while maintaining code quality and review standards.
Demonstrated experience transforming large-scale applications or modernizing analytical products.
Experience in Supply Chain, manufacturing, logistics, procurement, supplier development, planning, or supplier risk.
Experience building with LLMs, retrieval-augmented generation, or AI agents in production data and application workflows, including retrieval, tool calling, evaluation, or agentic pipelines.

Responsibilities

Implement optimization, data science, and AI solutions aligned with architectural decisions, responsible AI practices, and enterprise standards.
Design, develop, and maintain reproducible data preparation, feature-engineering, modeling, and scoring workflows using Python, SQL, Databricks, and approved cloud services.
Implement and optimize statistical, machine learning, forecasting, optimization, anomaly detection, natural language processing, and generative AI approaches for Supply Chain decision support.
Work with Business Product Owners to refine requirements, analytical questions, success measures, and acceptance criteria.
Apply data quality, model validation, evaluation, explainability, and error-analysis techniques to ensure accuracy, reliability, and appropriate use of solutions.
Troubleshoot and resolve data, model, and application issues to support project execution and dependable production operation.
Collaborate with cross-functional teams to integrate models, analytical services, dashboards, and AI capabilities into the product framework.
Design and develop solutions that meet non-functional requirements, including security, privacy, performance, scalability, monitoring, and system integrations.
Use AI as an assistant for analysis, coding, code review, testing, debugging, and documentation while maintaining quality and review standards.
Prototype and experiment to test ideas, measure results, and share learnings, including unsuccessful outcomes.
Spend time with planners, logistics, buyers, supplier development, and operations teams to ensure solutions reflect their work.
Bring new tools, techniques, and emerging technologies into team practice and help teammates adopt effective approaches.

Benefits

Professional growth and development programs
Tuition reimbursement
Team Member Vehicle Purchase Discount
Toyota Team Member Lease Vehicle Program (if applicable)
Comprehensive health care and wellness plans for the entire family
Toyota 401(k) Savings Plan with company match and an annual retirement contribution (if applicable)
Paid holidays and paid time off
Referral services related to prenatal services, adoption, childcare, schools, and more
Tax-advantaged accounts, including Health Savings Account, Health Care FSA, and Dependent Care FSA
Relocation assistance (if applicable)