09 Nov
|
Candidate
|
Toronto
We'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 protected 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. 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.
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.
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
Measure tradeoffs between speed, reliability, cost, and customer experience, and turn them into product and strategy recommendations
Build automation tools, metrics, and frameworks that help the broader team move faster
Ability to write complex, efficient SQL queries and code in Python or R
~ Experience building, evaluating, and improving statistical, machine learning, and optimization models
Experience working with geospatial data and methods
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: Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. CAN$161,000—$170,000 CAD
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📌 Data Scientist Senior - Remote (Toronto)
🏢 Candidate
📍 Toronto