Intuit's QuickBooks Money team is developing innovative tools to help customers get paid faster and with confidence. The Money Data Science team's mission is to deliver delightful customer experiences and drive business impact by developing insights, models, and strategic thought partnership that helps small and mid-market business customers on managing their money.
Requirements
- Ability to formulate data-backed strategies that will drive step-function growth for the business as well as increase customer benefit
- Ability to generate hypotheses grounded in customer behavior, industry trends, and external market factors.
- Experience in designing and interpreting complex experiments beyond traditional A/B testing methods
- Demonstrated experience in building reusable and scalable analytics solutions, with a focus on efficiency and avoiding duplication of work
- Experience using statistics and machine learning techniques to solve complex business problems within go-to-market and marketing areas, e.g., propensity for feature adoption, customer health scoring to identify customers at risk to cancel, next best action models etc.
- Advanced SQL skills and proficiency in visualization tools such as Qlik, Tableau, Plotly Dash
- Strong analytical and modeling skills using Python (for its rich suite of statistical and modeling libraries like numpy, pandas, scikit-learn, etc.)
Responsibilities
- Conceptualize business problems or opportunities, formulate hypotheses and goals, dene key metrics and make actionable recommendations
- Drive strategic insights that shape the future of Money-movement ecosystem products within Intuit, impacting millions of small businesses
- Develop predictive models, conduct experimentation beyond A/B testing, and generate actionable customer insights that inform product innovation
- Build and apply durable customer segmentation patterns to renew product targeting, positioning, and customer experience
- Partner closely with Product Management, Marketing, Engineering, Design, and Analytics leaders to deliver insights that drive product strategy and growth
- Translate complex data insights into actionable recommendations for technical and non-technical stakeholders, and business leaders
Other
- Outstanding communication skills with the ability to influence decision makers and build consensus with teams
- Quick learner, adaptable, with the ability to work independently or as part of a team in a fast-paced environment
- BS or MS degree in Statistics, Mathematics, Operations Research, Computer Science, Econometrics or related field. Equivalent experience will be considered.
- 6-12 years of experience in data science or product analytics, preferably in fintech, with a strong foundation in predictive modeling, customer segmentation, and experimentation
- Experience in the fintech or SMB space is highly preferred.
