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.