Job Information
Intuit Staff Software Engineer in Mountain View, California
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.
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