Senior Staff Data Scientist, Money

Intuit

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Oakland, CA
Salary
$210,500–$284,500 / yr
Posted
16 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k
This role $248k
$114k most similar roles pay here $303k

This role pays more than 85% of similar roles. Most pay $135,000–$224,062 — the shaded band above. At the midpoint, this role pays about $248k versus about $180k 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 174 open roles on FindRole.

Listed pay typically runs $202,500–$274,000 across 152 roles with salary data.

Most-posted roles

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At a glance

TL;DR · Senior Staff Data Scientist, Money

Senior Staff Data Scientist, Money joins the Fast Money & Lending team to serve as an analytical leader and strategic thought partner. This high-impact role involves setting the analytics vision for products including refund advance, refund transfer, 5 Days Early, and lines of credit. The successful candidate will define strategy across the customer lifecycle, influence senior leadership, and raise the scientific bar by identifying new machine learning and causal inference methodologies. Day-to-day responsibilities include leading large-scale experimentation using A/B/n, bandits, and quasi-experimental designs like Propensity Score, Difference in Differences, and Synthetic Control. The role requires building durable customer segmentation strategies and shaping an AI-native roadmap for lending products. Key requirements include expertise in causal inference, offline classification and regression models, and the ability to create reusable frameworks while mentoring other data scientists within a fintech context.

What does a Data Scientist earn in California?

Median $208978 from 66 postings across 27 companies.

See salary data

What you'll do

  • Set the analytics strategy to evaluate the customer lifecycle across fast money and lending products.
  • Influence senior leadership by translating complex data insights into actionable business strategies for product and marketing.
  • Identify and implement advanced ML and causal inference methodologies to drive business value across the unit.
  • Design and lead complex experiments, including A/B testing and quasi-experimental designs like Difference-in-Differences.
  • Create durable customer segmentation strategies based on behavioral patterns to improve targeting and positioning.
  • Co-create the AI-native roadmap for lending products while ensuring safety, risk, and ethical considerations.
  • 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.
  • Experience in fintech (lending, banking, or investing) is preferred.
  • Proven ability to design and interpret complex experiments and apply 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 broader analytics communities.
  • 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).

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