Intuit's Global Business Solutions Group (GBSG) aims to empower small and mid-sized businesses (SMBs) by expanding its third-party partner ecosystem for QuickBooks and Mailchimp. The Staff Data Scientist will help shape this ecosystem by building data foundations, delivering predictive models, and generating insights to guide product strategy, go-to-market decisions, and partner success, ultimately driving partner benefit, customer acquisition, and incremental revenue for Intuit.
Requirements
- Strong programming and analytical skills in SQL, Python or R, with experience in Databricks, Tableau, and AWS ecosystem.
- Proven track record in predictive modeling, customer segmentation, experimentation, and personalization at scale.
- Ability to generate actionable insights that influence product strategy, GTM planning, and executive decision-making.
Responsibilities
- Build and scale data foundations to support analytics, reporting, and forecasting across the partner ecosystem.
- Develop predictive models to understand program monetization, customer behavior, and partner value realization.
- Partner with product teams to evaluate new product launches and features, measure their impact, and inform future roadmap decisions.
- Shape go-to-market strategy by identifying opportunities, recommending actions to amplify the flywheel effect, and driving partner benefits and new customer growth.
- Deliver actionable insights through dashboards, scorecards, and analyses that empower leaders and cross-functional teams.
- Translate complex data into clear, compelling narratives that influence decision-making and drive ecosystem growth.
Other
- 8+ years of experience in product, business, or customer analytics, preferably in B2B SaaS or fintech.
- Strong project management and communication skills, effective with both technical and non-technical audiences.
- Bachelor’s degree in Statistics, Data Analytics, Computer Science, or related field; Master’s preferred or equivalent experience
