Senior Engineer - Decision Scientist

Toyota North America•Plano, TX

3d•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 data science and AI solutions and collaborate with senior team members to deliver customer value. Reporting to the Senior Manager, Digital Innovations, this role supports Supply Chain transformation and adoption of modern and emerging technologies and platforms. The position works in cross-functional fusion teams comprising engineers, product staff, and Supply Chain operators. Team assignments may change across Supply Chain areas as priorities shift. The position is based at Toyota Motor North America Headquarters in Plano, Texas.

Requirements

Proficiency in optimization, simulation, operations research, or scenario planning for cost, sourcing, supplier, inventory, logistics, or allocation decisions, with experience using solvers such as Gurobi.
Strong technical expertise in operations research, data science, machine learning, statistical analysis, and data integration, with 5+ years of hands-on experience using modern technologies.
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.
3+ years of hands-on experience with Python, SQL, data preparation, model development, and reproducible analytical workflows.
Practical 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.
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 using 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 solve 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 a data science workflow, with sound judgment about their appropriate 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, including 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 integration.
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 findings, including unsuccessful outcomes.
Spend time with planners, logistics, buyers, supplier development, and operations teams to understand their work and inform solution design.
Bring new tools, techniques, and emerging technology into team practices and help teammates adopt approaches that prove effective.

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 your entire family
Toyota 401(k) Savings Plan featuring a company match and an annual retirement contribution from Toyota (if applicable)
Paid holidays and paid time off
Referral services related to prenatal services, adoption, childcare, schools, and more
Tax Advantaged Accounts: Health Savings Account, Health Care FSA, and Dependent Care FSA
Relocation assistance (if applicable)