Data Scientist

TCC Toyota Motor Credit Corporation is hiring Data Scientists to support Toyota Financial Services’ growing data science practice. The role develops end-to-end analytical solutions, including predictive and prescriptive models, business insights, and the transition of models into production in a cloud environment.

Responsibilities

• Lead efforts with team members and business stakeholders to define, prioritize, and solve high-impact business questions that drive data-informed decision-making
• Own the extraction, transformation, and preparation of data from diverse sources using SQL and Python to support advanced analysis and model development at scale
• Design, and develop predictive and prescriptive models using statistical and machine learning methods to address complex business challenges and deliver actionable insights
• Create clear, compelling visualizations and executive-level presentations to communicate findings and recommendations to both technical and non-technical audiences
• Lead the transition of models from development to production within the organization’s cloud ecosystem, ensuring solutions are robust, scalable, and operationally effective
• Contribute to strategic project planning and prioritization discussions, helping align analytical efforts with broader business objectives
• Stay current on industry trends, tools, and emerging methodologies, and apply relevant advancements to continuously improve analytical approaches and solutions

Skills

• 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, 'job flexibility benefits' [also known as I-140 or Adjustment of Status portability], etc.) now or in the future
• Master's degree or higher in a relevant analytical discipline
• Demonstrated experience developing and optimizing analytical solutions using Python
• 3+ years of hands- on experience applying statistical and machine learning techniques to solve complex business problems
• Hands-on experience with statistical or machine learning frameworks such as statsmodels, scikit-learn, or PyTorch
• Working knowledge of methods such as logistic regression, time series analysis, GLMs, mixed modeling, multivariate statistics, decision trees, gradient-boosted trees, random forests, and neural networks
• Strong problem-solving skills and a proactive approach to identifying opportunities for improvement and innovation
• PHD in a quantitative or technical discipline (CS, Engineering, Data Science, Statistics, Mathematics, Operations Research, etc.)
• Experience with version control systems such as GitHub, and familiarity with CI/CD practices to streamline model deployment and code management
• Hands-on experience with cloud-based machine learning platforms (e.g., AWS SageMaker or Azure ML) to leverage scalable computing resources and tools
• Demonstrated ability to lead through influence, effectively navigating and prioritizing complex cross-departmental projects to drive impactful change
• Capability to replace and bridge existing legacy infrastructure and processes
• Experience working with Data Science outside of a degree-seeking program

Benefits

• A work environment built on teamwork, flexibility, and respect
• Professional growth and development programs to help advance your career
• 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 (if applicable)
• An annual retirement contribution from Toyota regardless of whether you contribute (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, Dependent Care FSA)
• Relocation assistance (if applicable)

Company Overview