Data Scientist

Toyota North America•Plano, TX

About The Position

Toyota Financial Services is hiring multiple Data Scientists as individual contributors to support its growing Data Science practice. The role’s scope will align with the candidate’s level of experience and combines advanced analytics, predictive modeling, and business advisory. The Data Scientist prepares data, develops models, generates insights, and translates complex analytical results into clear recommendations for business leaders and partners. The role also supports moving models from development into production within an established cloud environment, delivering end-to-end analytical solutions in a collaborative setting.

Requirements

  • Master’s degree or higher in a relevant analytical discipline.
  • Demonstrated experience developing and optimizing analytical solutions using Python.
  • At least 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.

Nice To Haves

  • PhD in a quantitative or technical discipline such as computer science, engineering, data science, statistics, mathematics, or operations research.
  • Experience with version control systems such as GitHub and familiarity with CI/CD practices for model deployment and code management.
  • Hands-on experience with cloud-based machine learning platforms such as AWS SageMaker or Azure ML.
  • Ability to lead through influence and navigate and prioritize complex cross-departmental projects.
  • Capability to replace and bridge existing legacy infrastructure and processes.
  • Experience working with Data Science outside of a degree-seeking program.

Responsibilities

  • Work with team members and business stakeholders to define, prioritize, and solve high-impact business questions that support data-informed decision-making.
  • Extract, transform, and prepare data from diverse sources using SQL and Python for 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 visualizations and executive-level presentations to communicate findings and recommendations to 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, aligning analytical efforts with broader business objectives.
  • Stay current on industry trends, tools, and emerging methodologies and apply relevant advancements to improve analytical approaches and solutions.

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 employee’s family
  • Toyota 401(k) Savings Plan with a 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
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service