As a Data Scientist within the Auto Finance Data & Analytics team, you will leverage advanced analytics and artificial intelligence and machine learning (AI/ML) to support product teams, build analytical solutions, guide strategic business decisions, and enable growth initiatives. You will partner closely with Product, Technology, Design, Risk, and other cross-functional teams to translate complex business questions into analytical and AI/ML solutions. You will combine hands-on technical execution with business judgment and clear, data-driven storytelling. You will help establish and evolve the measurement frameworks that keep leaders informed and teams accountable.

Job Responsibilities

• Conduct deep-dive analyses to generate actionable insights and recommendations that streamline processes and uncover opportunities for product innovation and growth.
• Present insights and recommendations to business leaders using clear, data-driven storytelling to help guide strategic direction.
• Partner with Business, Product, and Technology teams to implement data-driven strategies and models that drive growth and customer engagement.
• Develop and apply statistical analyses and mathematical models to identify trends and patterns in complex data.
• Leverage firm-approved AI tools (for example, LLM Suite and GitHub Copilot) to accelerate analysis and identify opportunities for innovation.
• Analyze the end-to-end digital customer engagement funnel and recommend improvements to increase conversion.
• Evolve and refine measurement frameworks and key performance indicators, highlighting anomalies and trends to senior leaders.

Required Qualifications, Capabilities, and Skills

• Three years of relevant experience in data science, machine learning, or a related field.
• Demonstrated experience translating digital customer behavior data into actionable insights and recommendations for business leaders.
• Demonstrated experience defining key performance indicators, building measurement frameworks, and monitoring for anomalies in digital product performance.
• Proficiency developing predictive models and applying classification algorithms (for example, logistic regression, k-nearest neighbors, random forest, and gradient boosting).
• Solid understanding of statistical concepts for data analysis and experience designing and evaluating A/B experiments.
• Hands-on experience with SQL and Python for data extraction, analysis, and model development.
• Experience using analytics and visualization tools such as Adobe Analytics and Tableau (or equivalent tools).
• Strong ability to synthesize complex analytical results and communicate recommendations to executive, business, and technical stakeholders.

Preferred Qualifications, Capabilities, and Skills

• Experience building conversational artificial intelligence solutions and orchestrating machine learning services into an end-to-end application.
• Amazon Web Services (AWS) Certified Cloud Practitioner certification.

Use machine learning and advanced analytics to improve Auto Finance digital experiences and drive growth decisions.