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Intuit Staff Data Scientist 
United States, California, Mountain View 
831162467

Today
Responsibilities
  • 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.
Qualifications
  • 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