Data Scientist

Role overview

Toyota Financial Services, part of Toyota and Lexus in North America, is hiring multiple Data Scientists to support a fast-growing data science function. The role sits at the intersection of advanced analytics, predictive modeling, and business consulting, with a strong emphasis on turning data into practical decisions and production-ready solutions.

About the team and environment

Toyota describes its culture as collaborative, respectful, and focused on innovation. The team works in an environment built around teamwork, flexibility, and continuous growth. This position is based at Toyota Headquarters in Plano, Texas, with onsite work Monday through Thursday and remote work on Fridays.

Work authorization requirement

Applicants must already have the legal right to work in the United States. Toyota will not provide immigration-related sponsorship or support for this role now or in the future. This includes, but is not limited to, H-1B, O-1, E-3, H-1B1, TN, F-1 OPT, F-1 STEM OPT, F-1 CPT, and portability-related situations.

What you will do

• Partner with teammates and business stakeholders to define the most important questions and prioritize work that drives data-informed decisions.
• Gather data from multiple sources, then clean, transform, and prepare it for analysis and model building using SQL and Python.
• Design, develop, and apply predictive and prescriptive models using statistical and machine learning methods to address business problems and uncover actionable insights.
• Build strong visualizations that help technical and non-technical audiences understand findings and recommendations.
• Move models from development into production efficiently within the company’s cloud environment.
• Take part in planning and prioritization discussions so analytics efforts stay aligned with business objectives.
• Keep up with evolving tools, techniques, and industry trends, and use that knowledge to improve methods and outcomes.

What the team is looking for

• A master’s degree or higher in a relevant analytical discipline.
• Practical experience developing and improving data solutions with Python.
• Experience applying statistical and machine learning approaches to solve business or real-world problems.
• Hands-on familiarity with analytics or ML libraries and frameworks such as statsmodels, scikit-learn, or PyTorch.
• Working knowledge of techniques including logistic regression, time series analysis, GLMs, mixed modeling, multivariate statistics, predictive modeling, decision trees, gradient-boosted trees, random forests, and neural networks.
• A proactive mindset with the ability to identify issues early and create inventive solutions.

Preferred experience

• Exposure to version control tools such as GitHub and awareness of CI/CD practices for model deployment and code management.
• Experience with cloud-based machine learning platforms such as AWS SageMaker or Azure ML.
• Ability to lead through influence and manage complex cross-functional work by setting priorities effectively.
• Experience modernizing or bridging legacy systems and workflows.
• Prior data science experience outside of a degree-based academic program.

Benefits and perks

• Team-oriented, flexible, and respectful work culture.
• Professional development opportunities, including career growth support and tuition reimbursement.
• Team member vehicle purchase discount.
• Team member lease vehicle program, where applicable.
• Comprehensive health coverage and wellness plans for employees and their families.
• 401(k) savings plan with company match plus an annual retirement contribution from Toyota, even if you do not contribute.
• Paid holidays and paid time off.
• Referral services for prenatal care, adoption, childcare, schools, and related family support needs.
• Tax-advantaged accounts, including HSA, healthcare FSA, and dependent care FSA.

Belonging and equal opportunity

Toyota says its success is driven by its people and welcomes a wide range of perspectives and experiences. The company states that it is committed to respect for all and supports team members through business partnering groups across many North American chapter locations. Employment decisions are made without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other protected characteristic.

Accommodations

If you need help with the application process or require a reasonable accommodation, Toyota asks that you contact talent.acquisition@toyota.com.