Intuit Staff Data Scientist 

United States, California, Mountain View 

831162467

• 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.

• 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