Data Scientist

Data Scientist

Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. 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. We're looking for talented team members who want to Dream. Do. Grow. with us.

An important part of the Toyota family is Toyota Financial Services (TFS), the finance and insurance brand for Toyota and Lexus in North America. While TFS is a separate business entity, it is an essential part of this world-changing company- delivering on Toyota's vision to move people beyond what's possible. At TFS, you will help create best-in-class customer experience in an innovative, collaborative environment.

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 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.

This position is based at the Toyota Headquarters in Plano, TX with onsite work Monday-Thursday and remote work on Fridays.

Toyota Financial Services is seeking highly motivated people to fill multiple Data Scientists openings to help our growing Data Science practice.

This role is ideal for someone who will thrive working at the intersection of computational science, predictive modeling, and business consulting. The ideal candidate will excel at analysis, manipulation, and cleaning of data, building predictive and prescriptive models using a variety of theoretical and computational techniques, extract insights from models to help inform business decisions, and present results and recommendations to various business partners and leaders. Additionally, the ideal candidate will also possess the technical expertise to help transition models from development to production and deploy them efficiently. If you have a passion for end-to-end data solutions and enjoy working in a dynamic, collaborative setting, you could be the perfect fit for our team.

What you'll be doing

• Work closely with team members and business partners to identify and prioritize key questions and drive impactful data-based decisions.
• Extract, manipulate, and clean data from diverse sources using SQL and Python, preparing it for detailed analysis and model development.
• Develop and implement sophisticated predictive and prescriptive models using statistical and machine learning techniques. Ensure these models address key business challenges and deliver actionable insights.
• Create clear, compelling data visualizations to effectively communicate findings to both technical and non-technical stakeholders.
• Effectively and efficiently transition models from development to production within the organization's existing cloud ecosystem.
• Participate actively in project planning and prioritization sessions to ensure data initiatives align with business goals.
• Stay updated with the latest industry trends and tools and integrate this knowledge to improve methodologies and solutions.

What you bring

• Master's degree or higher in a relevant analytical field.
• Hands-on experience building and optimizing data solutions using Python.
• Experience solving problems using a variety of statistical and machine learning techniques.
• Hands-on experience using statistical or machine learning frameworks to solve a variety of real-world problems (e.g., statsmodels, scikit-learn, PyTorch).
• Knowledge of methods like Logistic Regression, Time Series Analysis, GLMs, Mixed Modeling, Multivariate Statistics, Predictive Modeling, Decision Trees, Gradient-Boosted Trees, Random Forests, and Neural Networks.
• Proactive approach to identifying problems and developing innovative solutions.

Added bonus if you have

• 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 in Data Science outside of a degree-seeking academic program.

What we'll bring

During your interview process, our team can fill you in on all the details of our industry-leading benefits and career development opportunities. A few highlights include:

• A work environment built on teamwork, flexibility and respect.
• Professional growth and development programs to help advance your career, as well as 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, as well as an annual retirement contribution from Toyota regardless of whether you contribute.
• Paid holidays and paid time off
• Referral services related to prenatal services, adoption, childcare, schools and more.
• Tax Advantage Accounts (Health Savings Account, Health Care FSA, Dependent Care FSA)

Belonging at Toyota

Our success begins and ends with our people. We embrace all perspectives and value unique human experiences. Respect for all is our North Star.

Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law.

Have a question, need assistance with your application or do you require any special accommodations? Please send an email to View email address on click.appcast.io.