Job 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.

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

•  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