United States onlyWe're transforming the grocery industry
At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.
Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.
Instacart is a Flex First team
There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.
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
Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.
Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.
For US based candidates, the base pay ranges for a successful candidate are listed below.
Canada
