[Hiring] Senior Data Scientist @Instacart

Role Description

The Fulfillment Data Science team works on problems at the core of Instacart's marketplace: how customers choose and experience delivery and pickup, and how we balance speed, reliability, and cost to deliver it. You'll join a collaborative team that works closely with frontier machine learning models, on a rich data set with fast feedback loops from design to production. You'll be a trusted partner to Product, Engineering, and Operations, turning complex marketplace questions into clear recommendations that shape the roadmap and reach leadership.

• Use data science to shape how customers choose and experience delivery and pickup, from browsing through checkout and fulfillment.
• Own the experimentation framework for all speed and service option tests, across both marketplace and enterprise.
• Design and analyze experiments in a two-sided marketplace, adapting methods to fit the problem.
• Measure tradeoffs between speed, reliability, cost, and customer experience, and turn them into product and strategy recommendations.
• Connect operational changes to business outcomes such as growth, retention, and efficiency.
• Work with Product, Engineering, and Operations to understand complicated systems and find the questions that matter most.
• Build automation tools, metrics, and frameworks that help the broader team move faster.

Qualifications

• 5+ years of experience in a quantitative role at a product company or a research organization.
• Track record of owning ambiguous, cross-functional problems end to end and influencing roadmap or leadership decisions.
• Ability to design and run rigorous experiments and come up with scientifically sound recommendations.
• Ability to write complex, efficient SQL queries and code in Python or R.
• Ability to turn unstructured quantitative problems into business outcomes by translating business needs into analytical frameworks.
• Eagerness to learn, flexibility to pivot when needed, and a growth mindset in a dynamic environment.

Requirements

• Experience with the analytical and strategic challenges of working on problems in a multi-sided marketplace.
• Experience building, evaluating, and improving statistical, machine learning, and optimization models.
• Experience working with geospatial data and methods.
• Experience with experimentation in a product-driven setting and in developing experimentation capabilities and tooling.
• Excellent written and verbal communication skills, able to lead initiatives across multiple product areas and communicate findings to leadership, product, and engineering teams.
• MS/PhD in Statistics, Economics, Operations Research, Applied Mathematics, or a similar field.

Benefits

• Highly market-competitive compensation and benefits in each location where our employees work.
• Remote work flexibility under the Flex First remote work policy.
• Eligibility for a new hire equity grant as well as annual refresh grants.