Senior Staff Data Scientist, Money

Intuit

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Oakland, CA
Salary: $210,500–$284,500 / yr
Posted: 63 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $187k

This role $248k

$118k $302k

below market most similar roles pay here above market

This role pays more than 90% of similar roles. Most pay $148,240–$225,000 — the blue band above. At the midpoint, this role pays about $248k versus about $187k 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.

Most-posted roles

View all roles at Intuit

At a glance

TL;DR · Senior Staff Data Scientist, Money

Role Posting Log in to save

The Senior Staff Data Scientist, Money joins the Fast Money & Lending team to serve as an analytical leader and strategic thought partner. This role involves setting the analytics vision for products including refund advances, transfers, and lines of credit. You will lead experimentation at scale, design complex A/B/n, painted-door, and bandit tests, and apply causal inference methodologies like Propensity Score, DiD, and Synthetic Control. Key responsibilities include building durable customer segmentation strategies, mentoring data scientists, and shaping an AI-native roadmap. You must utilize machine learning for offline classification and regression models to inform business decisions. The role requires deep expertise in statistics, econometrics, or computer science to solve fintech problems regarding customer lifecycles, risk, and ethical considerations within the lending and fast money product areas.

What does a Data Scientist earn in California?

Median $214500 from 114 postings across 26 companies.

See salary data

Skills

Machine Learning Causal Inference A/B Testing Statistics Customer Segmentation Experimentation Design Synthetic Control Data Science Operations Research

What you'll do

Set the analytics strategy to evaluate the end-to-end customer lifecycle for fast money and lending products.
Influence VP-level leadership by translating complex insights into actionable business strategies across product and marketing.
Identify and adapt new ML and causal inference methodologies into shareable frameworks for business-wide adoption.
Design and lead complex experiments, including A/B/n, bandits, and quasi-experimental designs like Difference-in-Differences.
Create durable customer segmentation strategies by connecting patterns across various experiments and behavioral analyses.
Co-create the AI-native roadmap for lending while ensuring model performance aligns with safety, risk, and ethical standards.
Mentor data scientists and establish scientific standards and best practices across the analytics team.

What we're looking for

9+ years of experience in data science and analytics with a track record of driving strategy across multiple initiatives.
Fintech experience in lending, banking, or investing (preferred).
Proven success designing and interpreting complex experiments and applying causal inference where experimentation is constrained.
Deep expertise in causal inference, customer segmentation, and experimentation design.
Ability to build offline classification and regression models to inform business decisions.
Experience creating reusable frameworks, methodologies, and toolkits for a broader analytics community.
Exceptional communication skills with a demonstrated ability to influence Director- and VP-level leaders.
BS or MS in Statistics, Mathematics, Operations Research, Computer Science, Engineering, Econometrics, or a related field (advanced degree preferred).

Save