Senior Data Scientist

Intuit

Quick summary

Work type
On-site
Location
San Diego, CAMountain View, CA
Posted
5 days ago

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Salary context

How this pay compares to similar roles

Similar $162k
$100k most similar roles pay here $233k

This listing doesn't post a salary. Most similar roles pay $126,800–$198,000.

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 $200,750–$272,000 across 110 roles with salary data.

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At a glance

TL;DR · Senior Data Scientist

Join the Intuit Customer Success team as a Senior Data Scientist within the Expert Network, where you will drive AI strategy for product support and live experiences. You will collaborate with cross-functional teams to develop analytical frameworks and modeling solutions that enhance our Expert Network and AI-driven platform. Your daily tasks include designing advanced predictive models using ensemble methods, time-series forecasting, and deep learning architectures, conducting rigorous causal inference analyses, and defining success metrics. The role requires expertise in machine learning, statistical methods, and experimental design, with proficiency in Python or R and SQL. You must also have experience integrating ML models into production environments and a deep understanding of generative AI technologies. This position demands strong communication skills to deliver data-driven insights to senior stakeholders and influence strategic decisions across the organization.

What you'll do

  • Design and deploy scalable predictive models to uncover high-impact growth opportunities.
  • Own the end-to-end experimentation pipeline, from hypothesis generation to causal interpretation.
  • Lead causal inference analyses to understand key levers of business growth.
  • Define success metrics using state-of-the-art measurement frameworks for KPIs.
  • Deliver data-driven narratives with quantified business impact to senior stakeholders.
  • Influence product vision and deliver measurable impact through analytics innovation.
  • Integrate machine learning models into production environments for personalization.

What we're looking for

  • 4+ years of progressive applied data science experience.
  • Expertise in machine learning, causal inference, and experimental design.
  • Proficiency in SQL, Python or R for advanced modeling.
  • Experience integrating ML models into production environments.
  • Deep understanding of generative AI and evolving technologies.
  • Hands-on experience with data visualization tools like Tableau.
  • Strong communication skills to translate analytics into strategic guidance.

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