Toyota North America · 1 day ago
Analyst, Data Science
Plano, TX
Full-time
Hybrid
New Grad, Entry LevelToyota North America is a leading brand in the automotive industry, seeking a talented Analyst in Data Science to enhance their financial services. The role involves utilizing computational science and predictive modeling to inform business decisions and improve customer experiences.
Manufacturing
No H1B
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
Qualification
Required
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
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
Preferred
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
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).
Company
Toyota North America
At Toyota, we’re known for making some of the highest quality vehicles on the road. But there is more to our story.
Founded in 1957
10001+ employees
Funding
Current Stage
Late StageTotal Funding
$4.5MKey Investors
ARPA-E
2024-12-18Grant· $4.5M
Leadership Team
Tetsuo Ogawa
CEO
Brian Kursar
Group Vice President - Head of Enterprise AI
Recent News
2026-02-11
Clean Technica
2026-02-11
2026-02-06
Company data provided by crunchbase