**Overview** The Accountant Data Science team is seeking an experienced Data Scientist to join our team. This role requires a balance of hands-on technical expertise and strategic influence. You will own the entire data science workflow — from designing rigorous experiments and shaping data pipelines, to performing advanced statistical analyses, developing predictive models, and communicating insights that influence strategy. You’ll partner closely with Product, Design, Marketing, and Engineering teams to ensure data is leveraged at every stage of the customer journey, enabling smarter decisions and measurable business outcomes. **What you'll bring** + 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. + 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. + Demonstrated ability to tell stories with data, including building clear visualizations and delivering insights that drive decisions at the executive level. + Proven experience working with large-scale datasets and modern data platforms (e.g., BigQuery, Snowflake, Databricks). + Strong communication and collaboration skills, with the ability to partner across technical and non-technical teams. **How you will lead** + 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. + Partner with stakeholders across Product, Design, Marketing, and Engineering to shape data-driven strategies. EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.