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Overview

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, QuickBooks, Credit Karma 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.

What you'll bring

• Advanced degree in Statistics, Mathematics, Engineering or related quantitative field

• 5+ years relevant experience with large scale data engineering

• 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.

• 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

How you will lead

• 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

EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.