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
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. The expected base pay range for this position is: Mountain View $202,500 - $274,000 San Diego, CA $188,500- $255,000
