Senior Growth Data Scientist - Product & Experimentation

Intuit Inc.

Mountain View (CA)

On-site

USD 211,000 - 285,000

Full time

11 days ago
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Job summary

Intuit Inc. in Mountain View seeks a Senior Staff Data Scientist to partner with cross‑functional teams within the Global Business Solutions Group (GBSG) Product Growth team.

You will lead data science initiatives, apply causal inference and ML to uncover growth opportunities, and mentor peers to advance a rigorous analytics culture. The role emphasizes strategic vision, deep analytics, and rapid experimentation to accelerate customer value and revenue while collaborating with Product,

Qualifications

  • 8+ years of experience in data science or analytics with a proven record driving product and business growth.

Responsibilities

  • Set Technical Vision and Strategy for data science roadmap targeting funnel optimization and scalable growth.
  • Apply causal inference, advanced statistical modeling, and ML techniques to transform data into actionable insights.
  • Design, implement, and analyze experiments to validate hypotheses and drive data-driven decisions.
  • Collaborate with Product, Engineering, Design, and cross-functional teams to translate insights into product enhancements.
  • Mentor colleagues, share best practices in causal inference and analytics, and strengthen the growth framework.
  • Balance rigorous analysis with rapid, iterative execution to turn insights into impact.

Skills

SQL
Python
R
Causal Inference
Statistical Modeling
Machine Learning
Experiment Design

Tools

Tableau
Power BI

Job description

Intuit Inc. in Mountain View seeks a Senior Staff Data Scientist to partner with cross‑functional teams within the Global Business Solutions Group (GBSG) Product Growth team.

You will lead data science initiatives, apply causal inference and ML to uncover growth opportunities, and mentor peers to advance a rigorous analytics culture. The role emphasizes strategic vision, deep analytics, and rapid experimentation to accelerate customer value and revenue while collaborating with Product,

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