Toyota North America · 1 day ago
Manager, Data Science
Plano, TX
Full-time
Hybrid
Senior Level
5+ years expToyota North America is a leading brand in the mobility sector, seeking a dynamic Data Science Manager to drive data-driven innovation across their organization. The role involves leading strategic data science initiatives, managing a team of data scientists, and partnering with business leaders to leverage data science for business objectives.
Manufacturing
No H1B
Responsibilities
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
Qualification
Required
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
Preferred
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
Benefits
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)
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.
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
Morningstar.com
2026-01-05
2026-01-05
Company data provided by crunchbase