Staff Data Engineer - Experimentation Platform

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Intuit

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intuit.com

10,001+ employees

Software Development

Mountain View, California

1983

Public Company

1.1M LinkedIn followers

• 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.
• 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

• 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.

• Cash Bonus
• Equity Rewards
• Benefits