Toyota Motor Corporation

Toyota Motor Corporation

Data Scientist - Optimization

Plano, Texas

No sponsorshipDetected 13 days ago
PythonAWSGCPAzureMachine Learningscikit-learnPandasNumPyData EngineeringData ScienceAgentic AIMLOpsStatisticsA/B TestingAgileForecastingSupply ChainLogisticsResearchLeadershipCommunicationCollaborationS&OPDemand Planning

About the role

  • These are just a few words that describe what life is like at Toyota.
  • We're looking for talented team members who want to Dream.
  • This position is based out of Toyota North American Headquarters in Plano, TX

Responsibilities

  • Lead the development and deployment of mathematical optimization models for integrated supply chain planning, including mixed-integer programming, linear programming, network flow, constraint programming, heuristics, simulation-informed optimization, and scenario-based decision support.
  • Partner with vehicle and parts business leaders to identify high-value optimization opportunities, define problem statements, quantify value, prioritize use cases, and establish measurable outcomes tied to supply chain efficiency, revenue enablement, cost reduction, service improvement, and customer/dealer experience.
  • Manage and coach a team of data scientists, optimization engineers, analysts, and technical contributors; provide direction on solution design, modeling standards, code quality, experimentation discipline, and operational readiness.
  • Collaborate with product owners, architects, data engineers, application developers, and cloud/platform teams to embed optimization services into digital products, APIs, workflows, and decision-support tools.
  • Develop scalable data pipelines and model inputs using trusted enterprise data sources, including operational vehicle, parts, logistics, demand, production, and dealer/customer data, with appropriate focus on data quality, lineage, and traceability.
  • Oversee the transition of optimization solutions from proof-of-concept into production, including MLOps/ModelOps practices, monitoring, retraining or re-optimization strategies, exception handling, release management, and hypercare support.
  • Establish standards for scenario planning, what-if analysis, tradeoff visualization, KPI reporting, and executive storytelling to support faster and better business decisions.
  • Support Agile delivery practices by defining epics, features, user stories, acceptance criteria, model requirements, test cases, and traceability from business use cases through technical implementation.
  • Communicate complex optimization concepts to executive, business, and technical audiences in clear business language; influence alignment, drive buy-in, and support adoption of new decision processes.
  • Design and embed optimization within end-to-end decision workflows, partnering on workflow and process orchestration (e.g., BPMN / Camunda) so model outputs drive automated, auditable business actions.

Requirements

  • Strong proficiency in Python and common data science/optimization libraries such as pandas, NumPy, SciPy, Pyomo, OR-Tools, scikit-learn, or equivalent tools.
  • Experience formulating optimization problems with real-world constraints, imperfect data, competing objectives, and operational tradeoffs.
  • Experience with cloud-based data and analytics platforms and with moving advanced analytics or optimization solutions into production environments.
  • Experience leading or managing multi-disciplinary teams that include data scientists, engineers, architects, product owners, application developers, and business process owners.
  • Excellent verbal and written communication skills, with the ability to simplify technical content for senior leaders and business stakeholders.
  • Master's degree or Ph.D. in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, Data Science, or a related quantitative discipline.
  • Automotive industry experience, especially in vehicle supply chain, demand and supply planning, production planning, allocation, logistics, distribution, or dealer-facing operations.
  • Strong understanding of supply chain planning, logistics, manufacturing, inventory, allocation, scheduling, or transportation management processes
  • Experience with integrated business planning, sales and operations planning, network optimization, ETA improvement, vehicle ordering, production confirmation, or logistics orchestration.
  • Hands-on experience with cloud services such as AWS, Azure, or GCP and with production patterns for APIs, batch optimization, event-driven optimization, and model monitoring.
  • Bachelor's degree or higher in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Computer Science, Data Science, Engineering, Supply Chain Management, or a related field, or equivalent professional experience.
  • Demonstrated experience building and deploying optimization models using Gurobi or comparable commercial/open-source solvers.
  • Demonstrated ability to manage multiple initiatives simultaneously while balancing scope, value, risk, timeline, budget, and resource constraints.
  • Strong Agile/Scrum delivery experience, including backlog refinement, sprint planning, acceptance criteria definition, demos, and release readiness.
  • Demonstrated success working in a fusion or cross-functional product team alongside product owners, domain SMEs, and engineers from diverse backgrounds - listening first, asking probing questions to understand the operation before solving, and building shared understanding and trust across disciplines.
  • Added bonus if you have

Nice to have

  • Experience applying agentic AI and multi-agent system frameworks to decision automation (familiarity with Digital Innovations' agentic platform, DIAL, a plus).

Compensation

  • Toyota 401(k) Savings Plan featuring a company match, as well as an annual retirement contribution from Toyota regardless of whether you contribute

Company info

  • Collaborative.
  • A place to dream and do.
  • 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.
  • 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, TN, (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.
  • Who we're looking for
  • Toyota's Digital Innovations organization is seeking a Data Scientist - Optimization to lead the design, development, and industrialization of advanced optimization solutions supporting integrated vehicle and parts supply chain transformation.
  • This role applies mathematical optimization, operations research, data science, and cloud-based engineering practices to help deliver the North American Vehicle Supply Chain vision of providing the right vehicle to the right place at the right time.
  • The successful candidate will serve as a hands-on technical leader for optimization use cases across demand planning, supply allocation, production and logistics planning, ETA improvement, inventory positioning, scheduling, routing, network design, and decision automation.
  • The role will use commercial optimization platforms such as Gurobi, along with Python-based data science ecosystems and cloud services, to translate complex business constraints into scalable decision models and production-ready products.
  • Reporting to the General Manager of Supply Chain Transformation, this person will partner closely with business process owners, product owners, application architects, data engineers, platform teams, and executive stakeholders.
  • The role requires strong technical depth, Toyota Way leadership, cross-functional influence, clear communication, and the ability to move advanced analytics solutions from concept to reliable operations.

Visa & Work Authorization

  • 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.
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This listing is sourced directly from Toyota Motor Corporation's careers page and normalized into a canonical job model.