Senior Staff Data Scientist, Mid-Market Growth (Hybrid)

Intuit

Mountain View (CA)

Hybrid

USD 211,000 - 285,000

Full time

2 days ago
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Job summary

Intuit is seeking a Senior Staff Data Scientist for its Global Business Solutions Group (GBSG) in Mountain View. The role partners with Product, Customer Success, Marketing, Engineering, and Design to drive mid-market growth and long-term strategy.

You will lead analytics, experimentation, and ML/GenAI initiatives, shaping measurements and prioritizing opportunities across the customer journey while mentoring a team of 3-5 senior to staff data scientists in a hybrid Mountain View environment.

Qualifications

  • 8+ years of data science or analytics with measurable impact.
  • B2B SaaS or fintech experience is highly preferred.
  • Strong experimentation and causal inference expertise.
  • First-principles problem solving to drive product decisions.
  • Executive communication and stakeholder influence to non-technical audiences.

Responsibilities

  • Influence product strategy with senior leaders across product and business.
  • Set analytics vision, metrics, and leading indicators for mid-market growth.
  • Lead experimentation, causal inference, and A/B/n design across the funnel.
  • Develop ML models and GenAI features to personalize and optimize product outcomes.
  • Identify growth opportunities across the end-to-end customer journey.

Skills

AI-native stack
SQL
Machine learning
LLMs / GenAI
Customer segmentation

Education

Bachelor's or Master's in quantitative field

Tools

Claude/Cursor/Codex
MCPs/CLIs/APIs

Job description

Intuit is seeking a Senior Staff Data Scientist for its Global Business Solutions Group (GBSG) in Mountain View. The role partners with Product, Customer Success, Marketing, Engineering, and Design to drive mid-market growth and long-term strategy.

You will lead analytics, experimentation, and ML/GenAI initiatives, shaping measurements and prioritizing opportunities across the customer journey while mentoring a team of 3-5 senior to staff data scientists in a hybrid Mountain View environment.

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