Senior Analyst, Data Science

Toyota Motors - Plano, TX

Full-time - Mid Level

Hybrid - Plano, TX

Transportation Equipment Manufacturing

About the position

The Senior Analyst, Data Science position at Toyota Financial Services (TFS) is designed for a highly motivated individual who will contribute to the Data Science practice by leveraging computational science, predictive modeling, and business consulting. This role involves analyzing and manipulating data, building predictive models, and presenting insights to inform business decisions. The position is hybrid, based in Plano, TX, and requires collaboration with team members and business partners to drive impactful data-based decisions.

Responsibilities

• Work closely with team members and business partners to identify and prioritize key questions and drive impactful data-based decisions.
• Extract, manipulate, and clean data from diverse sources using SQL and Python, preparing it for detailed analysis and model development.
• Develop and implement sophisticated predictive and prescriptive models using statistical and machine learning techniques.
• Ensure these models address key business challenges and deliver actionable insights.
• Create clear, compelling data visualizations to effectively communicate findings to both technical and non-technical stakeholders.
• Effectively and efficiently transition models from development to production within the organization's existing cloud ecosystem.
• Participate actively in project planning and prioritization sessions to ensure data initiatives align with business goals.
• Stay updated with the latest industry trends and tools and integrate this knowledge to improve methodologies and solutions.

Requirements

• Master's degree or higher in a relevant analytical field.
• Hands-on experience building and optimizing data solutions using Python.
• Experience solving problems using a variety of statistical and machine learning techniques.
• Hands-on experience 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

• 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).