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Staff Risk Data Scientist

Category Data Location Mountain View, California Job ID 2025-69573
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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

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 build AI/ML models 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 being a part of 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 Staff Data Scientist 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

● Perform hands-on data analysis and modeling to derive meaningful conclusions and solve complex problems of lending. Extract insights and knowledge from structured and unstructured data using various techniques, including statistical analysis, machine learning, and data visualization in service to driving business decisions.● Run regular A/B tests, gather data, perform statistical analysis, 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.● Utilize models and develop advanced experimentation methods, such as synthetic controls, propensity score matching techniques, etc., to establish causality and measure product performance.● Manage data integration and engineering with the Product platform for data hygiene.● Partner closely with credit and fraud risk policy teams in deploying models and inferring results by monitoring the performance and effectiveness of strategies.● Provide guidance and support to business leaders and stakeholders on how best to harness available data in support of critical business needs and goals in the standardization of reporting and strategy.● Drive strategic thinking and cross-functional alignment around data-driven approaches to optimizing the lending funnel.● Influence the team's roadmap by sharing findings with the rest of the company and driving and verifying change in our marketing channel spend.● Mentor junior analysts to raise the bar across the organization.

Qualifications

● 5-7 years of experience working in web, product, marketing, or other related analytics fields, Preferred experience in lending or fintech domain● Ability to tell stories with data, educate effectively, and instill confidence, motivating stakeholders to act on recommendations.● Proven ability to apply scientific methods to solve real-world problems on web-scale data.● Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions.● Advanced proficiency in SQL, Tableau, and Excel, with expertise in modern advanced analytical tools and programming languages such as Python.● Experience in defining metrics and instrumenting data tracking in clickstream.● Excellent problem-solving skills and end-to-end quantitative thinking.● Ability to manage multiple projects simultaneously to meet objectives and key deadlines.● A great storyteller and communicator who can build relationships with a diverse set of stakeholders, including both technical and non-technical colleagues.● MS in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent work experience is preferred.

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Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is Bay Area California $186,000-252,000. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

We use the technology for good to help small businesses and consumers.

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