About The Position

As a Data Scientist on the Auto Finance Data & Analytics team, you will use 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 with Product, Technology, Design, Risk, and other cross-functional teams to translate business questions into analytical and AI/ML solutions, combining hands-on technical work with business judgment and clear, data-driven storytelling. You will also help establish and evolve measurement frameworks that keep leaders informed and teams accountable. The role focuses on turning digital behavior and performance data into insights that shape strategy and improve conversion across the customer journey. You will own analyses end-to-end and apply modern machine learning to customer and business problems.

Requirements

  • At least three years of relevant experience in data science, machine learning, or a related field.
  • Experience translating digital customer behavior data into actionable insights and recommendations for business leaders.
  • Experience defining key performance indicators, building measurement frameworks, and monitoring digital product performance for anomalies.
  • Proficiency developing predictive models and applying classification algorithms, such as 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.
  • Ability to synthesize complex analytical results and communicate recommendations to executive, business, and technical stakeholders.

Nice To Haves

  • 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.

Responsibilities

  • Conduct deep-dive analyses to generate actionable insights and recommendations that streamline processes and identify opportunities for product innovation and growth.
  • Present insights and recommendations to business leaders through clear, data-driven storytelling to 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.
  • Use firm-approved AI tools, such as 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.

Benefits

  • Competitive total rewards package, including base salary determined by role, experience, skill set, and location.
  • Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
  • Comprehensive health care coverage.
  • On-site health and wellness centers.
  • Retirement savings plan.
  • Backup childcare.
  • Tuition reimbursement.
  • Mental health support.
  • Financial coaching.
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