Senior Staff Data Scientist, Product

Intuit

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Mountain View, CA
Salary
$210,500–$284,500 / yr
Posted
21 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $198k
This role $248k
$134k $301k
below market most similar roles pay here above market

This role pays more than 86% of similar roles. Most pay $162,000–$233,137 — the blue band above. At the midpoint, this role pays about $248k versus about $198k for comparable roles.

Based on 240 similar postings.

Employer

About Intuit

Intuit is a financial software company known for products like TurboTax, QuickBooks, Mint, and Credit Karma, helping consumers and small businesses manage their finances and taxes. Industry: Financial Software & Technology

Intuit currently has 255 open roles on FindRole.

Listed pay typically runs $202,500–$274,000 across 236 roles with salary data.

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At a glance

TL;DR · Senior Staff Data Scientist, Product

The Senior Staff Data Scientist, Product joins the Mid-market Data Science team to serve as an analytical leader and strategic thought partner for Mid-market Product Growth initiatives. This high-impact individual contributor role involves setting the analytics vision, establishing measurement architecture, and influencing product strategy across the customer journey from acquisition to retention. Key responsibilities include leading experimentation using A/B/n and multi-armed bandits, applying causal inference methodologies like Propensity Score Matching, and developing ML models and LLM applications for intelligent personalization and lead scoring. The role requires expert-level proficiency in SQL, complex data modeling, and an AI-native tech stack including Claude, Cursor, and Codex. You will use first-principles thinking to solve complex product problems and mentor a team of senior to staff data scientists.

What does a Data Scientist earn in California?

Median $214500 from 114 postings across 26 companies.

See salary data

What you'll do

  • Influence product strategy by conducting deep-dive analyses on customer segmentation, funnel optimization, and product adoption.
  • Establish the measurement architecture and key success metrics to evaluate the health of the mid-market product ecosystem.
  • Design complex experiments and apply causal inference methodologies like Propensity Score Matching and Difference-in-Differences.
  • Develop ML models and LLM applications to integrate intelligent personalization and generative AI features into the customer experience.
  • Identify new business opportunities across the customer funnel using data mining and first-principles thinking.
  • Create reusable analytical frameworks and tools to improve decision-making at scale.
  • Supervise and mentor a team of 3-5 senior to staff data scientists.

What we're looking for

  • Minimum Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or Economics.
  • 8+ years of experience in data science, product analytics, or related fields with a track record of driving business impact.
  • Experience in B2B SaaS or fintech (preferred).
  • Expert-level proficiency in SQL and complex data modeling.
  • Advanced practical experience applying machine learning and LLMs/GenAI workflows to real-world product problems.
  • High proficiency in AI-native data science tech stack including Claude, Cursor, Codex, MCPs, CLIs, and APIs.
  • Deep expertise in experimentation, causal inference, and advanced customer segmentation.
  • Exceptional storytelling and stakeholder influence skills to communicate complex data concepts to non-technical audiences.

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