Staff Data Scientist - Experimentation

Overview

The Foundations data science team–a small group inside of Instacart data science–is growing! The team’s remit is to work in partnership with Engineering by developing the statistical methodologies that fuel the analytic tooling used throughout Instacart for product experimentation.  

About the Role - We are looking for a staff level data scientist with expertise in experimentation, adaptive experiments, and causal inference to join us. This role will have enormous influence in two ways: First, this individual will help devise and develop the underlying methodologies used in tools by product analysts, data scientists, and engineers throughout the company. Decisions about the business will be made using the very tooling and methodology that this individual creates. Second, the individual will have substantial exposure to c-level stakeholders where their expertise in developing experimental systems and interpreting experimental findings will be a sought after resource. 

About the Team - The Foundations data science team at Instacart is responsible for developing and innovating world-class experimentation tools and causal inference measurement systems for use at scale. The team looks to combine the best of academic and industry practices to ensure that business decisions are made with the most accurate, reliable information. In addition, this team frequently consults throughout the greater Data Science org at Instacart to help solve the toughest problems.  

About the Job 

• Extend our A/B testing capabilities through the use of techniques such as developing sequential design functionality, incorporating smoothing designs, fractional factorial designs, etc.
• Work closely with Engineering to advise how to apply scientifically rigorous methods that function at scale
• Contribute to our adaptive experimentation initiatives (e.g., bandits) by helping to devise the strategy and roadmap for what we should build and why
• Serve the greater DS community at Instacart by consulting on a wide variety of challenging statistical topics
• Develop statistical best practices and evangelize on behalf of them
  

About You

Minimum Qualifications

• This is a very senior level position with an expectation of at least 8 years work experience
• Substantial previous work experience (~3 years) building experimental tools at scale on a major app/platform
• Expert in experimentation and causal inference techniques
• Strong communication skills; public speaking and presentation skills are highly desirable
• Desire to code every day in SQL/R/python
• Previous experience with dbt is a nice-to-have
• MA required, Ph.D preferred

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