Intuit's Global Business Solutions Group (GBSG) Product Data Science team is looking to solve business and customer challenges by accelerating decision-making through advanced models, insights, and experimentation for the Workforce Solutions segment within QuickBooks.
Requirements
- Demonstrated proficiency in causal inference techniques, statistical modeling, machine learning, and experimental design
- Advanced skills in SQL, Python, and other analytical tools, with practical experience using data visualization platforms (e.g., Tableau, Qlikview) to communicate insights
- 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.
- Experience with data integration and pipeline development is a plus
Responsibilities
- Develop and deploy machine learning models and statistical frameworks to forecast growth, uncover patterns, and optimize decision-making across the GBSG Platform team
- Design, run, and analyze A/B tests and quasi-experiments using methodologies such as synthetic control, regression discontinuity, or propensity score matching to establish causal relationships and measure impact.
- Partner with data engineering and platform teams to ensure reliable, scalable data pipelines and tracking instrumentation are in place.
- Create dashboards, visualizations, and self-serve tools to democratize access to insights across cross-functional teams and leadership
- Translate business problems into analytical frameworks.
- Apply advanced analytical methods to drive product and business growth.
- Use 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.
Other
- 7+ years of experience in data science, with a proven record of applying advanced analytical methods to drive product and business growth ideally in Saas or financial technology companies serving consumer or SMBs
- 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
- Serve as the strategic data science partner to leaders across Marketing, Product, and Finance.
- Champion data hygiene and integrity.
- MS. or Ph.D. in a quantitative field (e.g., Statistics, Computer Science, Economics, Mathematics, Operations Research) or equivalent work experience
