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Intuit

Staff Data Scientist, Experimentation Lead

Staff Data Scientist, Experimentation Lead

United States, California

18.09.2021
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Intuit

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Incyte

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IntuitStaff Data Scientist, Experimentation LeadUnited States, California
Details

Overview

At Intuit, we’re on a high priority mission to increase the value and velocity of all data-driven decisions impacting our products - TurboTax, Quickbooks, Mint, and Credit Karma. We are looking for a Data Scientist lead with deep expertise in experimentation, statistics and prescriptive algorithms, solving complex big data problems and the ability to drive a cultural change. This role will partner closely with data leaders, analysts and Engineering teams to drive company-level impact by identifying and implementing enhancements to our experimentation platform’s suite of services.

What you'll bring

  • Intellectual curiosity and a passion for experiment design, experiment methodology, and iterative learning
  • Proficiency with relational database querying languages (e.g., SQL) and statistical analysis/programming languages (e.g., Python or R)
  • A wide range of experience with experimentation (2+ years), including conducting and analyzing A/B tests with various applied statistical techniques (e.g., incrementality testing and causal inference)
  • Ability to build durable data models with automated pipelines, dashboard templates and other solutions for analysts to leverage
  • Experience making confident data-driven recommendations based on experiment results, and communicating these to stakeholders with various levels of technical knowledge
  • Passionate about statistical methods and translating complex business problems into tractable statistical problems
  • Entrepreneurial and self-directed, demonstrated ability to innovate and bias toward action in fast-paced environments
  • Ability to tackle ambiguous and undefined problems

How you will lead

  • Contribute to the long-term technical vision and strategy, including the usage and implementation of different methods and metrics that will improve the value and velocity of decision making at scale (help stakeholders across the business evolve the way they leverage experimentation technology to drive impact)
  • Develop a detailed understanding of the Intuit’s experimentation platform, data architecture and measurement tools/services
  • Continue to keep a pulse on broader industry best practices as well as challenges, ultimately enabling the ability to identify present and future opportunities and risks
  • Identify and prioritize areas of opportunity, anticipate experimenter needs, and assess novel solutions
  • Work with engineering and analysts to build and improve experimentation methods and metrics, ensuring high-quality output and impact
  • Educate internal colleagues of various technical level on different experimentation methods, metrics, tools and best practices
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