**Overview** Come join the Intuit Finance Data Science & Strategy team as a Staff Data Scientist! In this role, you will help drive data-backed strategic initiatives across the Intuit portfolio, primarily focused on opportunities within our Consumer Group. We are looking for creative problem solvers with a passion for delivering data-driven insights. You will partner closely with finance strategy, FP&A, data engineering, and various business partners to directly impact our business results and accelerate Intuit’s growth. **What you'll bring** + 6+ years relevant experience with a proven track record of leveraging analytics to drive significant business impact. + Advanced proficiency in SQL, “big data” technologies (e.g., Redshift, Spark, Hive, BigQuery), and BI tools (e.g., Tableau, Qlik, Dash). Qlik certification is a big plus + Passion for uncovering strategic opportunities and and a strong business acumen and the ability to translate business strategy into testable hypotheses and insights + High-level understanding of advanced statistical modeling and ML methodologies such as causal inference techniques with a strategic understanding of their application + Strong programming skills in Python or R; experience building ML and GenAI models, including automation and custom implementations. + Strong data storytelling skills, with a proven ability to rapidly construct impactful visualization, communicate insights and influence leadership + Excellent communication and interpersonal skills, with a proven ability to build trust and collaborate seamlessly across technical, business, and cross-functional teams. + Comfortable working in a fast-paced environment and have flexibility to shift priorities when needed + Bachelor’s degree in Engineering, Data Science, Statistics, Mathematics, Computer Science, Economics or related quantitative field; Master’s Degree preferred. Or equivalent work experience. Preferred Additional Experience: + Working knowledge of Consumer Finance platforms’ (e.g., TurboTax) data and business model. + Understanding of forecasting processes, financial reporting, time value of money, and other financial concepts. + Understanding of AI-native architectures and GenAI platforms; able to assess implications for data, testing, and behavior **How you will lead** + Leveraging predictive modeling, advanced analytics and causal inference methods to identify new opportunities to grow the business exploring unit economics, market dynamics, product migration, cross-selling, product growth levers, price/spend optimization, etc. + Perform end-to-end analytics using advanced SQL, ML and AI to extract business insights that drive tangible value for our customers and result in business growth. + Leverage data visualization and dashboarding tools such as Tableau to help uncover key business insights and improve team automation and self-service analytics. + Disseminate business insights to cross-functional stakeholders and influence decision-making. + Keep up with evolving trends and advancements in data analytics to drive innovation and continuously improve business processes. 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.