Intuit

Senior Data Scientist

Intuit, San Jose

3 days ago Be among the first 25 applicants

Overview
Do you love transforming data into insights that drive growth and innovation? Are you energized by the opportunity to work at the intersection of product, marketing, and strategy? Intuit TurboTax is seeking a Senior Data Scientist to join the high-impact Assisted Growth Data Science team.
Our team plays a pivotal role in driving top-of-funnel growth across Assisted offerings—including TurboTax Full Service, TurboTax Live Assisted, TurboTax Business Tax Live Assisted, and TurboTax Business Tax Full Service. This is a fast-moving space with significant investment, and we’re looking for a data-savvy professional who can help us uncover new opportunities and drive scalable solutions.
As a Senior Data Scientist, you will partner closely with cross-functional teams across Product, Marketing, Sales, Customer Success, Expert Network, and Finance. You will bring rigor to experimentation, clarity to ambiguous problems, and insight to business decisions—all while contributing to a data-driven culture.
What you'll bring

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.
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.
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.

How you will lead

Partner Across Functions - Collaborate with cross-functional stakeholders to define problems, frame hypotheses, and translate business needs into data science projects with measurable impact.
Analytics & Insights Generation - Analyze large, complex datasets to derive insights that guide strategy, product development, customer acquisition, and engagement initiatives.
Experimentation & Impact Measurement - Design and evaluate A/B and multivariate tests, using modern experimentation techniques to quantify the effects of new features and marketing campaigns.
Model Development & Data Enrichment - Build predictive models and customer segmentation frameworks that inform personalization, targeting, and optimization strategies.
Dashboarding & Data Storytelling - Develop automated reports and visualizations to surface key metrics. Communicate complex results in a simple and compelling way to technical and non-technical audiences.
Support Data Infrastructure - Collaborate with engineering and platform teams to define tracking requirements, improve data quality, and ensure the right data is available for analysis.
Uphold Best Practices - Promote experimentation rigor, model validation, reproducibility, and code quality within the data science community at Intuit.

Seniority level

Seniority level
Mid-Senior level

Employment type

Employment type
Full-time

Job function

Job function
Engineering and Information Technology
Industries
Software Development

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