GBSG - Staff Data Scientist

Come join the Global Business Solutions Group (GBSG) Mid Market Data Science team as a Staff Data Scientist. This role will be pivotal in shaping how we understand, grow, and retain our customer base. You will leverage data-driven insights to guide QB Desktop strategies, improve customer retention, optimize churn prevention, and enhance targeting efforts. The ideal candidate thrives at the intersection of data science and business strategy, collaborating closely with sales, marketing, and product teams to drive measurable impact on revenue growth and customer success. This is a high-impact role where your work will directly influence sales, product, marketing, and business model strategies. As a Staff Data Scientist, you will operate as a senior individual contributor, partnering closely with peers and leaders to identify, validate, and refine innovative growth strategies. Your expertise—especially in marketing analytics, causal inference and advanced analytics—will be instrumental in surfacing critical insights and translating them into actionable hypotheses that fuel sustained customer and revenue growth.

Responsibilities: Drive Business Strategy through Data - Translate business problems into analytical frameworks. Connect data across multiple functions to drive actionable recommendations and strategic growth opportunities for the Mid Market Marketing team Cross-Functional Influence - Serve as the strategic data science partner to leaders across Sales, Marketing, Product, and Finance to drive mid-market growth and expansion. Translate complex analytical findings into clear, compelling recommendations for executives and stakeholders. Insights at Scale - Conduct deep-dive analyses on pipeline, win/loss, and customer lifetime value to inform strategic decisions. Create dashboards, visualizations, and self-serve tools to democratize access to insights across cross-functional teams and leadership. Improve Customer Retention - Own retention and churn analytics, including designing metrics, identifying risk signals, and recommending interventions Data Infrastructure & Governance - Partner with data engineering and platform teams to ensure reliable, scalable data pipelines and tracking instrumentation are in place. Champion data hygiene and integrity.

Qualifications: 7+ years of experience in data science, with a proven record of applying advanced analytical methods to drive growth ideally in Saas or financial technology companies serving consumer or B2B segments Proven experience working with sales or go-to-market teams; deep understanding of customer retention, churn analysis, and sales optimization strategies Strong business acumen, excellent communication and storytelling skills with a track record of effectively simplifying the complex and delivering compelling narratives to stakeholders at all levels through data-driven insights Advanced skills in SQL, Python, and other analytical tools, with practical experience using data visualization platforms (e.g., Tableau, Qlikview) to communicate insights; Experience with data integration and pipeline development is a plus Demonstrated proficiency in causal inference techniques, statistical modeling, machine learning, and experimental design Experience using statistics and machine learning techniques to solve complex business problems within product marketing, e.g., product funnel optimization, propensity for feature adoption, next best action models etc. M.S. or Ph.D. in a quantitative field (e.g., Statistics, Computer Science, Economics, Mathematics, Operations Research) or equivalent work experience Footer Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may 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