Join Intuit’s Experimentation Platform team (IXP) to help turn hypotheses into measurable product decisions at scale.

Collaborate with an integrated team spanning Engineering, ML, Search, Data Science, Data Engineering, and Analytics to build capabilities that improve product and decision-making
Drive innovation by identifying and applying analytics, causal inference, experimentation, and machine learning
Shape how product decisions are made through direct impact on experiment design, analysis, and interpretation
Apply analytics, causal inference, experimentation, and ML to solve business problems
Lead end-to-end experiment design, including analysis and interpretation
Perform proactive data exploration on engagement behaviors to uncover future opportunities
Identify, compute, and validate success metrics for product areas
Build strong partnerships with cross-functional stakeholders across product, engineering, operations, design, and consumer research
Present research and insights to stakeholders across multiple levels of the company

BS or MS in Statistics, Mathematics, Engineering, or a related quantitative field
8+ years of coding experience in Java, Javascript, Go, or an equivalent
8+ years designing and operating high-throughput, low-latency distributed systems processing data at petabyte scale
Experience focused on experiment design and/or A/B testing at scale
Demonstrated statistical fundamentals for experimentation, including hypothesis testing and p-values, plus causal inference
Familiarity with statistical analysis and programming languages such as R and Python
Proven track record as a Data Engineer, including 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 or Power BI
Experience building reusable frameworks, SDKs, or platform libraries adopted by other engineering teams, with a focus on developer experience
Strong programming skills in Python, Java, SQL, and Scala
Experience with cloud platforms including AWS, Azure, or Google Cloud
Familiarity with machine learning algorithms and their use in data analysis
Ability to work independently while partnering with cross-functional teams to manage end-to-end product development
Ability to communicate technical and statistical concepts clearly across diverse audiences

The experimentation team builds and maintains the Intuit Experimentation Platform (IXP)
IXP is an enterprise-wide capability for moving from hypothesis to action rapidly and reliably
Teams including TurboTax, Mint, and QuickBooks use IXP
The platform is intended to help individuals test ideas and make decisions supported by experiment data
Opportunity to influence the experimentation program across Intuit
Opportunity to enable innovation via contributions to the experimentation platform
Opportunity to work with updated technology and frameworks in a collaborative, customer-obsessed, and diverse engineering environment

Salary range: USD 188,500 - 255,000 per year
Competitive compensation package may include cash bonus, equity rewards, and benefits per Intuit plans and programs
Pay is based on job-related knowledge, skills, experience, and work location
Intuit conducts regular comparisons across categories of ethnicity and gender to support fair pay
Expected base pay range shown for this role includes: San Diego, CA: $188,500 - $255,000 (and Mountain View: $202,500 - $274,000)

Minimum experience: 8 years
Education: BS or MS in Statistics, Mathematics, Engineering, or a related quantitative field

Staff Data Engineer - Experimentation Platform

Job Description