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Intuit TurboTax is seeking a Senior Data Scientist to join the high-impact Assisted Growth Data Science team to drive top-of-funnel growth across Assisted offerings by uncovering new opportunities and driving scalable solutions.

Requirements

• Advanced SQL and Python skills; experience with statistical packages (e.g., pandas, scikit-learn, statsmodels) and data visualization tools such as Tableau or Looker.
• Solid foundation in A/B testing and causal inference techniques (e.g., regression, matching, lift analysis, uplift modeling).
• Familiarity with marketing funnel metrics, channel attribution, or growth experimentation preferred.

Responsibilities

• Analyze large, complex datasets to derive insights that guide strategy, product development, customer acquisition, and engagement initiatives.
• Design and evaluate A/B and multivariate tests, using modern experimentation techniques to quantify the effects of new features and marketing campaigns.
• Build predictive models and customer segmentation frameworks that inform personalization, targeting, and optimization strategies.
• Develop automated reports and visualizations to surface key metrics.
• Communicate complex results in a simple and compelling way to technical and non-technical audiences.
• Collaborate with engineering and platform teams to define tracking requirements, improve data quality, and ensure the right data is available for analysis.
• Promote experimentation rigor, model validation, reproducibility, and code quality within the data science community at Intuit.

Other

• Partner Across Functions - Collaborate with cross-functional stakeholders to define problems, frame hypotheses, and translate business needs into data science projects with measurable impact.
• 5–7 years of experience in analytics, data science, or quantitative roles within consumer tech, fintech, SaaS, or digital marketing.
• Strong analytical thinking and business acumen with the ability to derive actionable insights from ambiguous and complex data.
• Excellent communication skills; able to translate technical findings into business recommendations and influence decision-making.
• Experience collaborating with cross-functional teams in matrixed environments.
• Bachelor’s degree in a quantitative field required; Master’s degree or higher in Statistics, Data Science, Computer Science, Economics, or a related field preferred.