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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.
Job Responsibility:
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
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
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
Requirements:
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
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
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
Nice to have:
Ph.D. in Statistics, Mathematics, Economics, Computer Science, or related quantitative field
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
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
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 offer:
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)