Senior Staff Data Scientist, Personal Finance

Intuit

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Oakland, CACharlotte, NC
Salary: $210,500–$284,500 / yr
Posted: 17 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $190k

This role $248k

$118k most similar roles pay here $302k

This role pays more than 88% of similar roles. Most pay $152,937–$226,387 — the shaded band above. At the midpoint, this role pays about $248k versus about $190k 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 222 open roles on FindRole.

Listed pay typically runs $202,500–$274,000 across 199 roles with salary data.

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At a glance

TL;DR · Senior Staff Data Scientist, Personal Finance

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As a Senior Staff Data Scientist, Personal Finance, you will serve as the analytical leader and strategic thought partner for the Insurance business. In this high-impact individual contributor role, you will define the analytics and measurement vision across the end-to-end insurance journey to influence product, marketing, and business strategy. You will build durable customer and marketplace understanding by connecting insights from behavioral data, experiments, and models to address issues like price sensitivity and conversion. Your daily work involves leading experimentation and causal inference, advancing personalization and matching through ranking and targeting, and shaping the AI-native insurance roadmap. You will utilize machine learning techniques including classification, regression, and propensity modeling while developing reusable analytical frameworks. The role focuses on solving complex problems in the insurance domain to improve member value and business outcomes.

What does a Data Scientist earn in California?

Median $214000 from 95 postings across 33 companies.

See salary data

Skills

Data Science Machine Learning Causal Inference A/B Testing Experimentation Customer Segmentation Funnel Optimization Ranking Targeting Propensity Modeling Analytics Strategy Measurement Frameworks

What you'll do

Define the analytics strategy and measurement vision for the end-to-end insurance journey.
Serve as a strategic partner to senior leaders to shape product and marketing investment decisions.
Analyze behavioral data and external signals to build a deep understanding of customer needs and marketplace dynamics.
Lead experimentation and causal inference methodologies to measure incrementality across the insurance funnel.
Partner with AI Science teams to improve targeting, ranking, and personalization for members.
Develop measurement frameworks and metrics to evaluate business health, including acquisition, retention, and economics.
Identify and quantify new growth opportunities using first-principles analysis to prioritize investments.
Build scalable scientific capabilities and reusable tools to improve decision-making across the organization.

What we're looking for

9+ years of experience in data science and analytics with a track record of driving strategy and measurable business impact.
Demonstrated ability to apply first-principles thinking to translate ambiguous business problems into analytical strategies and actionable decisions.
Deep expertise in experimentation, causal inference, customer segmentation, funnel optimization, and measurement.
Experience applying machine learning techniques including classification, regression, ranking, targeting, or propensity modeling.
Proven ability to connect insights across multiple analyses to develop a broader understanding of customer behavior and influence strategy.
Experience creating reusable analytical frameworks, methodologies, and capabilities adopted beyond an individual project or team.
Exceptional communication and stakeholder influence skills with the ability to influence Director- and VP-level leaders.

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