Analyst, Data Science

Toyota North America•Plano, TX

22h•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. What you’ll be doing 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 What you bring 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. Added bonus if you have 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. 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. Flextime and hybrid work options (if applicable). 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. Flexible spending accounts. Relocation assistance (if applicable). 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. Toyota is proud to have 10+ different Business Partnering Groups across 100 different North American chapter locations that support team members’ efforts to dream, do and grow without questioning that they belong. 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 [email protected]. At Toyota, we don’t just have a vision, but a group of talented, dedicated people who work hard every day to turn that vision into reality. Our mission is to build a future where everyone has the freedom to move. We believe that nothing is impossible. We have big dreams and persevere through any obstacles. We work together to create the future of mobility and make the world a better place. Career Possibilities: Toyota is a place for people who dream big and are determined to make those dreams a reality. We encourage innovation and look for people who will challenge the status quo in order to make the world a better place. We thrive on teamwork and collaboration and know diverse backgrounds, experiences and perspectives are not only the right thing for our people, they are a business imperative. Together, we’re empowered to forge our own paths — to be agile, curious and embrace a growth mindset and immerse ourselves in situations to gain new perspectives and to inspire bold, innovative ways of thinking and working. Our success as a company is directly tied to our team members’ success, and our collective ability to give back to society through an unwavering commitment to delight our customers and make people’s lives better. If you want to be part of the next-generation of innovations that help keep the world moving, then join us. And let’s start our impossible, together.

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.
Flextime and hybrid work options (if applicable).
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.
Flexible spending accounts.
Relocation assistance (if applicable).