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Manager 3, Data Science

Company: Intuit
Location: Mountain View
Posted on: May 20, 2025

Job Description:

Intuit's Consumer Group, including TurboTax, empowers millions of individuals to take control of their finances. TurboTax simplifies tax preparation and enables our customers to file with confidence. We leverage data and insights to innovate and enhance our consumer offerings.Now, we are expanding our focus to Consumer Lending within the Consumer Group, including TurboTax, and require a strategic leader to manage and develop a team of decision science for consumer lending. This role will be crucial in supporting our consumer lending initiatives, while navigating the complexities of Fintech Risk, alongside our core tax preparation business. If you are passionate about building and leading a high-performing team that drives results through data-driven insights in consumer lending spaces, and understands the unique risks within Fintech, this role is for you. As a Manager of Data Science in the Fintech Risk team, you will be in a highly influential position to inform Consumer lending product strategy and drive maximum business results.Responsibilities

  • Develop market leading statistical models for the risk department producing risk scores, collections scores, fraud models, probability of defaults, enhancing the underwriting and risk performance for consumer lending solutions.
  • Build predictive models, segmentation frameworks, and advanced experimentation methods, draw conclusions on the impact of product experiences, and communicate results to peers and leaders to measure and optimize execution of data-driven strategies in emerging areas of the consumer lending roadmap.
  • Provide technical guidance to the team to utilize models and develop advanced experimentation methods, including traditional and new AI/ML techniques.
  • Partner closely with credit and fraud risk policy teams to influence the roadmap, monitor performance, and understand risk, operational, and product concepts to manage major portfolio risk factors.
  • Create and manage multiple modeling scorecard initiatives and support the growth and scalability of consumer lending products.
  • Drive strategic thinking and cross-functional alignment around data-driven approaches to optimize the lending funnel.Minimum Qualifications
  • At least 10+ years of experience in data science or a related field, with a strong background in leading complex, cross-functional projects and driving data-driven decision-making. Preferred experience in lending or fintech domain.
  • Demonstrate strategic foresight, balancing short-term tactical priorities with long-term goals, and navigating competing demands in the consumer lending space.
  • 5+ years of experience building and leading high-performing teams, mentoring, and working collaboratively with executives and other teams to drive company-wide impact.
  • Excellent communication skills, capable of articulating complex data science concepts to non-technical stakeholders and presenting insights effectively.
  • Strong business and product sense, with the ability to define analyses and success metrics that influence business decisions.
  • Deep expertise in customer behavior analytics, predictive modeling, segmentation, and experimentation beyond A/B testing; experience with AI tools is a plus.
  • Domain experience in FinTech, Risk, Financial services, especially in Consumer Lending, is highly advantageous.
  • PHD in quantitative fields such as Statistics, Mathematics, Computer Science, or Machine Learning.
  • Experience in developing and managing multiple modeling scorecard initiatives to improve business outcomes.
  • Proficiency in traditional modeling techniques (e.g., linear & logistic regression) and AI/ML methods (e.g., gradient boosting, random forests, clustering).
  • Ability to investigate escalated incidences and drive business optimization.
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Keywords: Intuit, Newark , Manager 3, Data Science, Executive , Mountain View, California

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