Among computer occupations, all other, AI is already used for a large share of the tasks. Measured exposure for computer occupations, all other: 31% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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Intuit has filed one layoff notice in the last twelve months, covering 162 workers, most recently May 2026. These are public filings with state labor departments, and an open role can sit alongside them. See the filings

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About the job

Are you passionate about empowering people to test the impact of their ideas? Are you motivated by data-driven decisions? If 'yes', then the Intuit Experimentation Team (IXP) could be the right team for you.

The experimentation team builds and maintains the Intuit experimentation Platform, an enterprise-wide capability for moving rapidly and reliably from hypothesis to action. At Intuit, all teams (TurboTax, Mint, and QuickBooks to name a few) use IXP. Our aim is to give every individual at Intuit a voice by providing them a platform where they can test their ideas and have data from their experiments backing their ideas.

We have :

An opportunity for you to influence the experimentation program at Intuit.

An opportunity for you to enable innovation across Intuit with your contributions to the experimentation platform

An opportunity to work with the latest technology and frameworks.

An opportunity to work with a collaborative, customer-obsessed, and diverse engineering team.

Responsibilities

You will partner closely with a world-class org of Engineering, ML, Search, Data Science, Data Engineering, and Analytics practitioners who work together to create a variety of capabilities for Intuit to be more successful in its decision-making and product creation

You will help drive innovations through effective identification and application of analytics, causal inference, experimentation, and machine learning

This is a high-impact role in which you will have a direct influence on how product decisions are made

Effectively identify and apply analytics, causal inference, experimentation, and machine learning techniques for given business problems

Lead the design, analysis, and interpretation of experiments Proactively perform data exploration on engagement behaviors to discover future opportunities

Identify, compute and validate the appropriate metrics to measure success in a product area

Cultivate strong partnerships with cross-functional stakeholders from product, engineering, operations, design, consumer research, etc

Present your research and insights to all levels of the company

Qualifications

BS or MS in Statistics, Mathematics,Engineering or related quantitative field

8+ years of coding experience in Java, Javascript, Go or equivalent

8+ years of experience designing and operating high-throughput, low-latency distributed systems that process data at petabyte scale

Prior experience focused on experiment design and/or A/B testing at scale

Able to demonstrate application of the statistical underpinnings of experimentation: hypothesis testing, p-values, causal inference, etc

Familiar with statistical analysis and programming languages (e.g. R / Python)

Proven experience as a Data Engineer, with a strong background in data warehouse design and data modeling.

Expertise in SQL and experience with big data technologies such as Hadoop, Spark, Kafka, or similar.

Experience with data visualization tools and platforms such as Tableau, Power BI, or similar.

Experience building reusable frameworks, SDKs, or platform libraries consumed by other engineering teams — you think about developer experience as a product

Strong programming skills in Python, Java, SQL and Scala.

Experience in cloud platforms like AWS, Azure, or Google Cloud

Familiarity with machine learning algorithms and their application in data analysis.

Ability to work independently and partner with cross functional teams to manage end to end product development

Ability to communicate technical and statistical concepts clearly and concisely among audiences at many different levels

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Mountain View $202,500 - $274,000 San Diego, CA $188,500- $255,000