Senior Staff Data Scientist

Intuit

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Oakland, CACharlotte, NC
Salary: $210,500–$284,500 / yr
Posted: 2 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 $203k

This role $248k

$147k most similar roles pay here $299k

This role pays more than 80% of similar roles. Most pay $162,000–$243,412 — the shaded band above. At the midpoint, this role pays about $248k versus about $203k 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 189 open roles on FindRole.

Listed pay typically runs $202,500–$274,000 across 165 roles with salary data.

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At a glance

TL;DR · Senior Staff Data Scientist

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Senior Staff Data Scientist - Credit Karma Engagement serves as an analytical leader and strategic thought partner within the Credit Karma Engagement team. This role focuses on building value-driven features to improve member retention across the lifecycle, including activation, habit formation, and churn prevention. The successful candidate will set the data science strategy, mentor other scientists, and influence senior leadership by translating ambiguous business goals into technical problems. Key responsibilities include designing complex experiments using A/B/n testing, bandits, and quasi-experimental designs like Difference-in-Differences or Synthetic Control. The role requires expertise in causal inference, customer segmentation, and building offline classification and regression models to inform product decisions. You will work within a multi-product ecosystem to develop durable member segments and shape the AI-native roadmap while ensuring ethical considerations are met across all engagement and lifecycle initiatives.

What does a Data Scientist earn in California?

Median $213878 from 66 postings across 25 companies.

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Skills

Data Science Causal Inference Machine Learning A/B Testing Experimentation Design Customer Segmentation Statistics Mathematics Econometrics

What you'll do

Set the data science strategy for member lifecycle initiatives including activation, habit formation, and churn prevention.
Influence senior leadership by translating complex insights into actionable strategies for product, marketing, and engineering teams.
Identify and implement advanced ML and causal inference methodologies to drive business value across the organization.
Design and lead complex experiments using A/B testing, bandit algorithms, and quasi-experimental designs.
Create durable member segmentation strategies to improve targeting and personalization in the product experience.
Co-create the AI-native roadmap for engagement while ensuring safety, risk, and ethical considerations are met.
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 consumer product engagement, retention, or growth (preferred); fintech experience is a plus.
Experience in consumer platforms with membership-based or multi-product ecosystems (preferred).
Demonstrated ability to apply first-principles thinking to translate ambiguous business strategy into analytical problems.
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.
Exposure to building offline classification and regression models to inform business decisions.
BS or MS in Statistics, Mathematics, Operations Research, Computer Science, Engineering, Econometrics, or a related field (advanced degree preferred).