Intuit's Global Business Solutions Group (GBSG) is dedicated to creating tools and services that dramatically increase the ability of small-medium businesses (SMBs) to manage cash flow, and the Money Data Science team aims to deliver delightful customer experiences and drive business impact by developing insights, models, and strategic thought partnership to help small and mid-market business customers manage their money.
Requirements
- 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.)
- Familiarity with Linux/OS X command line, version control software (git), and general software development
- Experience using statistics and machine learning techniques to solve complex business problems within go-to-market and marketing areas
- Ability to formulate data-backed strategies that will drive step-function growth for the business as well as increase customer benefit
- Experience in designing and interpreting complex experiments beyond traditional A/B testing methods
Responsibilities
- Conceptualize business problems or opportunities, formulate hypotheses and goals, define 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
- BS or MS degree in Statistics, Mathematics, Operations Research, Computer Science, Econometrics or related field
- 10+ years of experience in data science or product analytics, preferably in fintech, with a strong foundation in predictive modeling, customer segmentation, and experimentation
- 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
