Staff Data Scientist, Engagement

Intuit

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Work type
On-site
Location
Charlotte, NCOakland, CA
Posted
1 day ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $179k
$116k most similar roles pay here $241k

This listing doesn't post a salary. Most similar roles pay $128,533–$228,950.

Based on 240 similar postings.

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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 206 open roles on FindRole.

Listed pay typically runs $202,500–$274,000 across 185 roles with salary data.

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At a glance

TL;DR · Staff Data Scientist, Engagement

Staff Data Scientist - Engagement joins the Credit Karma Engagement team to serve as an analytical partner for the Subscriptions product team. This role focuses on improving the member experience throughout the subscription lifecycle, including trial, conversion, renewal, and retention. The successful candidate will drive analytics strategy, partner with product and engineering leadership to shape roadmaps, and apply advanced methods like machine learning and causal inference to address churn prediction and pricing experiments. Key responsibilities include designing A/B/n and quasi-experimental designs, building member segmentations for personalized targeting, and contributing to an AI-native roadmap. The role requires expertise in experimentation design, offline classification and regression models, and the ability to translate ambiguous questions into actionable recommendations. Candidates should possess a degree in a quantitative field like Statistics or Computer Science.

What does a Data Scientist earn in California?

Median $214000 from 77 postings across 25 companies.

See salary data

What you'll do

  • Own the analytics agenda for the subscription lifecycle from trial and onboarding through conversion and renewal.
  • Partner with product leadership to shape roadmap decisions using data insights and business acumen.
  • Apply ML and causal inference techniques to solve problems like churn prediction and pricing optimization.
  • Design and execute A/B testing and quasi-experimental designs to evaluate changes in member experience.
  • Analyze member behavior to create segments for improved targeting, personalization, and offer strategies.
  • Identify opportunities to integrate AI/ML into the subscription experience and design measurement plans.
  • Mentor other data scientists on best practices regarding experimentation rigor and analytical methodology.

What we're looking for

  • BS or MS in Statistics, Mathematics, Operations Research, Computer Science, Engineering, Econometrics, or a related field.
  • 7+ years of experience in data science and analytics with a track record of driving impact within a product area.
  • Experience with subscription, membership, or lifecycle-based products (preferred).
  • Fintech experience is a plus.
  • Ability to translate ambiguous product questions into structured analyses and actionable recommendations.
  • Experience designing and interpreting experiments using causal inference techniques when experimentation is constrained.
  • Exposure to building offline classification and regression models to inform business decisions.
  • Strong communication and stakeholder-influence skills to work effectively with leadership across business and technical teams.

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