The Accountant Data Science team at Intuit is seeking to solve the problem of leveraging data to inform product roadmap and strategy, enable smarter decisions, and drive measurable business outcomes.
Requirements
- Deep expertise in experimental design (A/B testing, multivariate tests) and causal inference methods (e.g., propensity scoring, synthetic controls, difference-in-differences).
- Strong proficiency in SQL and Python or R for data extraction, wrangling, analysis, and modeling.
- Proven experience working with large-scale datasets and modern data platforms (e.g., BigQuery, Snowflake, Databricks).
- Demonstrated ability to tell stories with data, including building clear visualizations and delivering insights that drive decisions at the executive level.
- Advanced degree in Data Science, Statistics, Economics, Computer Science, or a related quantitative field.
- 5+ years of experience in applied data science or analytics, with a strong track record in product and marketing contexts.
- Strong communication and collaboration skills, with the ability to partner across technical and non-technical teams.
Responsibilities
- Conceptualizing business opportunities, formulating hypotheses, defining goals and key metrics, and delivering actionable recommendations.
- Frame business questions, extract and prepare data, conduct analyses, and deliver clear, actionable insights
- Design, implement, and analyze A/B tests and other experiments to evaluate new product features, marketing strategies, and customer engagement initiatives.
- Apply causal inference methods to assess the true impact of product and marketing interventions.
- Analyze user behavior, adoption patterns, and retention drivers to inform product roadmap and strategy.
- Build segmentation frameworks and models to optimize targeting and marketing
- Translate complex analyses into compelling stories that influence executive decision-making.
Other
- Advanced degree in Data Science, Statistics, Economics, Computer Science, or a related quantitative field.
- 5+ years of experience in applied data science or analytics, with a strong track record in product and marketing contexts.
- Strong communication and collaboration skills, with the ability to partner across technical and non-technical teams.
- Partner with stakeholders across Product, Design, Marketing, and Engineering to shape data-driven strategies.
- Travel requirements not mentioned
