Analyst, Data Science

Toyota North America • Plano, TX

7d • Hybrid

About The Position

Overview Who we are 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. This position is based in Plano, TX with a hybrid mix of some in-office time and some remote work. To save time applying, Toyota does not offer sponsorship of job applicants for employment-based visas or any other work authorization for this position currently. Who we’re looking for: 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 have knowledge of 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. If you have a desire for end-to-end data solutions and enjoy working in a dynamic, collaborative setting, you could be the perfect fit for our team.

Requirements

• Bachelor’s degree or higher in a relevant analytical field.
• Knowledge of or exposure to building and optimizing data solutions using Python.
• Knowledge of or exposure to solving problems using a variety of statistical and machine learning techniques.
• Knowledge of or exposure to 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.

Nice To Haves

• Master’s degree in relevant analytical field.
• 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.

Responsibilities

• Hands-on experience with tools such as Python or R.
• Using statistical and machine learning techniques to solve problems.
• Linear Regression, Logistic Regression, Time Series Analysis, Experimental Design, Generalized Linear Models, Mixed Modeling, Multivariate Statistics, Large-Scale Predictive Modeling, CHAID/decision trees, Gradient Boosted Trees, Random Forests, and Neural Networks.
• Pursue your development in Data Science

Benefits

• 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.
• Relocation assistance (if applicable).

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level