Manager, Data Science

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.

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 .

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

Who We're Looking For

Toyota Financial Services (TFS) seeks a dynamic and experienced Data Science Manager to drive data-driven innovation across our organization.

The role offers the opportunity to lead strategic data science initiatives across multiple business domains, including Sales and Marketing, Credit Risk, Residual Value, Customer Management and Collections, Insurance. As an ideal candidate, you'll combine hands-on technical expertise with strong leadership abilities to guide both project outcomes and team development.

What you'll be doing

Technical Leadership:

• Spearhead the development of sophisticated predictive and prescriptive models that drive business value
• Establish and maintain data science best practices, methodologies, and quality standards
• Design and implement scalable data pipelines for extracting, transforming, and analyzing complex datasets
• Translate analytical insights into clear, actionable recommendations for senior leadership
• Regularly participate in code review and hold a high bar for code quality.

Team Management:

• Build and mentor a high-performing team of data scientists, fostering their professional growth and technical capabilities
• Balance hands-on model development with strategic team leadership
• Drive project execution through both direct reports and cross-functional project teams

Business Partnership:

• Partner with business leaders to identify high-impact opportunities for data science applications
• Present complex analytical findings to stakeholders at all levels of the organization
• Develop and execute data science strategies that align with TFS's business objectives
• Lead the evaluation and adoption of emerging data science technologies and methodologies

Qualification Section

What you bring

Education & Experience

• Master's degree or higher in Statistics, Data Science, Computer Science, Mathematics, or related quantitative field
• At least 5 years of progressive experience in applied data science and analytics
• Demonstrated experience leading and mentoring junior data scientists and analysts
• Track record of successfully delivering complex data science projects in a business environment

Technical Expertise

• Strong proficiency in Python and its data science ecosystem
• Extensive experience with modern machine learning frameworks including scikit-learn, PyTorch, and statsmodels
• Deep understanding of statistical and machine learning techniques.
• Experience with data manipulation, cleaning, and pipeline development

Leadership & Soft Skills

• Proven ability to translate complex technical concepts into actionable business insights
• Strong problem-solving skills with a proactive approach to identifying opportunities
• Excellence in stakeholder management and cross-functional collaboration
• Outstanding written and verbal communication skills

Added bonus if you have

• Ph.D. in Statistics, Mathematics, Economics, Computer Science, or related quantitative field
• Cloud Platform Expertise:
  • Experience deploying and scaling machine learning models on cloud platforms (AWS SageMaker, Azure ML)
  • Understanding of cloud-based data processing and storage solutions
  • Knowledge of MLOps best practices and deployment workflows
• Strategic Leadership:
  • Track record of successfully influencing and driving change across multiple departments
  • Experience managing complex, cross-functional initiatives with competing priorities
  • Ability to build consensus and align stakeholders around data science initiatives
• Technical Architecture:
  • Experience modernizing legacy systems and processes
  • Knowledge of data architecture principles and system integration
  • Proven ability to design and implement scalable data science solutions

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. 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 .