Experimentation Leader, Data Science and Analytics

Experimentation Leader, Data Science and Analytics

  • Intuit
  •  Mountain View, California

Description

Seeking a Principal Experimentation Data Scientist to join Intuit’s Experimentation Center of Excellence (COE) for Small Business Self-Employed Group (SBSEG). We are looking for a creative problem solver with a passion for delivering data-driven insights, a deep knowledge of Testing and Experimentation to optimize SBSEG’s digital experiences.

In this role you will drive experimentation process improvement and automation to dramatically transform the way in which we allocate customers to experiments and manage delivery of experiments that drive decision making.

Responsibilities

  • Work closely with the Embedded Data Scientists/Analysts to set up, maintain and optimize performance analysis of our various in-market experiments
  • Provide test requesters with testing methodology and frameworks to create and monitor tests over time
  • Work with experimentation tools team to improve & enhance tool capabilities
  • Develop traffic forecasts and size opportunities based on constraints and interpretation of data findings
  • Define, implement and standardize metrics, reports and dashboards leveraging Tableau or other data visualization tools
  • Deliver key metrics, reports, dashboards and ad-hoc analyses with interpretation, contributing to the development of hypotheses and actions
  • Work with Marketing and Product Managers to develop learning plans with recommendations of analytics approaches to address questions or validate hypotheses
  • Generate follow-up questions with stakeholders, refine data findings and interpret results to drive data-based insights
  • Collaborate with internal and external partners to assist with data collection and reporting

Qualifications / Experience

  • 10+ years of experience in decision support and site optimization for an online/e-commerce business
  • Deep knowledge of testing and web analytics
  • Confident applying appropriate analysis methods of causal inference in both experimental and non-experimental situations
  • Subject matter expertise with clickstream data, SQL & Hive is a must
  • Understanding of complex web ecosystems, best practices and ability to put this knowledge into action
  • Ability to tell stories with data, educate effectively, and instill confidence, motivating stakeholders to act on recommendations
  • Excellent problem solving skills and end to end quantitative thinking
  • Outstanding communications skills with both technical and non-technical colleagues.
  • Experience with Tableau or another reporting solution a plus
  • Master’s or PhD in a quantitative field such as statistics, mathematics, or computer science
Intuit
Website http://www.intuit.com
Type Public
Size 5000+ employees
Our Mission is powering prosperity around the world. We do it by attracting the world’s top talent, bringing vital partners into our global platform, and leaving the world a better place through exceptional corporate citizenship.