Staff AI Scientist - Credit Karma

Intuit

Quick summary

Work type
On-site
Location
Oakland, CA
Salary
$209,500–$283,500 / yr
Posted
71 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $207k
This role $246k
$154k most similar roles pay here $297k

This role pays more than 76% of similar roles. Most pay $167,662–$246,150 — the shaded band above. At the midpoint, this role pays about $246k versus about $207k 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 124 open roles on FindRole.

Listed pay typically runs $201,500–$273,000 across 111 roles with salary data.

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At a glance

TL;DR · Staff AI Scientist - Credit Karma

Credit Karma seeks a Staff AI Scientist to join its data team in Oakland, California. This senior-level role involves driving data-informed decisions and developing AI-powered strategies that enhance member engagement and revenue through machine learning models for personalization and monetization. The ideal candidate will collaborate closely with cross-functional teams including engineering, product, marketing, finance, and analytics to identify high-impact opportunities and improve financial products. Key responsibilities include advancing machine learning techniques in areas like recommender systems and generative AI, defining business metrics, and representing the team in external forums. Candidates should have an MS in a quantitative field and at least seven years of industry experience with expertise in Python, Java, SQL, and deep statistical understanding. The role requires extensive knowledge of large-scale machine learning models and the ability to balance fast-paced environments while fostering innovation and growth within the organization.

What you'll do

  • Lead the development of machine learning models to enhance monetization and engagement.
  • Identify high-impact opportunities to leverage data for improved user services.
  • Drive research in GenAI, Deep Learning, Recommender systems for personal finance applications.
  • Define metrics and design experiments to quantify business aspects like revenue and engagement.
  • Translate complex technical concepts into understandable business terms during cross-functional meetings.
  • Work on large-scale machine learning models to optimize financial products.

What we're looking for

  • MS in Computer Science, Mathematics, Statistics, Physics or related quantitative field.
  • 7+ years of industrial experience in Data Science and Machine Learning.
  • Deep statistical knowledge and ability to develop next-generation ML systems.
  • Strong background in programming languages like Python, Java, SQL.
  • Experience driving monetization and member engagement through AI technologies.
  • Ability to work on large-scale AI systems with applications across machine learning.
  • Experience balancing fast-paced environments at a large scale company.

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