Senior Data Scientist: Strategy, ML & Growth Insights

Intuit Inc.

Mountain View (CA)

On-site

USD 211,000 - 285,000

Full time

9 days ago
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Job summary

Intuit Inc. is seeking a Senior Staff Data Scientist in Mountain View, CA, to drive data-driven decisions and operationalize insights at scale. You will shape product analytics, lead cross‑functional projects, and own critical KPIs and success metrics across GBSG.

The role emphasizes collaboration, mentorship, and advanced modeling using ML and LLM techniques. The team focuses on providing actionable insights and building capabilities that propel growth across Product, Marketing, Sales, Customer

Qualifications

  • 10+ years of analytics experience in web, product or related fields.
  • Proficient in SQL, Python and Tableau for data analysis and visualization.
  • Experience with ML models and LLMs to solve business problems.
  • Able to communicate insights to senior executives clearly.

Responsibilities

  • Influence strategic and operational decisions via customer segmentation and analytics.
  • Develop and manage KPIs and leading indicators for business performance.
  • Identify new opportunities to help partners reach goals.
  • Present data insights effectively to business partners at all levels.
  • Develop ML models and LLM apps to address business problems.
  • Collaborate with data scientists and data engineers on cross-functional projects.
  • Coach and mentor junior data scientists on the team.

Skills

SQL
Python
Tableau
ML models
LLMs
Stakeholder communication

Education

Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or related field

Tools

Tableau

Job description

Intuit Inc. is seeking a Senior Staff Data Scientist in Mountain View, CA, to drive data-driven decisions and operationalize insights at scale. You will shape product analytics, lead cross‑functional projects, and own critical KPIs and success metrics across GBSG.

The role emphasizes collaboration, mentorship, and advanced modeling using ML and LLM techniques. The team focuses on providing actionable insights and building capabilities that propel growth across Product, Marketing, Sales, Customer

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