OverviewThe 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.
About the Job- 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
About YouMinimum 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
Preferred Qualifications- 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
#LI-Remote
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. Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia.
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 Canadian based candidates, the base pay ranges for a successful candidate are listed below.
CAN
$161,000-$170,000 CAD
