Staff Data Scientist - Fulfillment Marketplace

We're transforming the grocery industry

Instacart is the North American leader in online grocery and one of the fastest-growing companies in e-commerce. Since 2012, we’ve been working towards creating a world where everyone has access to the food they love and more time to enjoy it together. 

Groceries delivered to your door in as little as an hour. It seems simple, right? Well, it’s more complex than that. From re-routing deliveries during snowstorms, to connecting customers with coupons and deals for their favorite brands, to updating over half a billion grocery data lines every night...our efforts bring Instacart closer to being the operating system for the grocery industry.

Solving these problems is what helps our customers get back time in their day, so they can do more of what they love.

Introducing Our Hybrid Working Model

As the future of work evolves, so do we. We have a hybrid model where our roles are open to in-office, flex, or remote work.  Learn more about our flexible approach to where we work.

OVERVIEW

The Fulfillment Marketplace team is at the core of Instacart. Our system supports millions of shoppers on the Instacart platform through mobile and web experiences by offering immediate and flexible earnings opportunities, and it must also be highly reliable at all times to ensure that Instacart’s customers receive on-time and high-quality deliveries. A major aspect of the team's success is to find the efficient frontier between service availability and fulfillment cost, all the while providing the best customer experience.

You will be joining as a leader on a growing Marketplace data science team and will tackle some of the most challenging and impactful problems that are transforming how people buy groceries every day. We build industry leading technology to power a balanced, sustainable and resilient marketplace that drives growth through efficiently meeting customer demand, incentivizing shoppers, and offering a widening range of high quality services. As a Staff Data Scientist, you will provide vision and direction to a data-driven product team as a trusted partner with Engineers and Product Managers, uncovering barriers in the product’s usability and utilizing these insights to inform product improvements that drive angle-changing growth. 

You will partner closely with Product and Engineering to understand customer behavior, inform product decisions and foster technical excellence. We’re looking for a self-driven, strategic thinker who can hit the ground running to ultimately influence decision-making across the entire organization. 

ABOUT THE JOB

• Own analytical frameworks that guide the product roadmap
• Design rigorous experiments and interpret results to draw detailed and actionable conclusions
• Develop statistical models to extract trends, measure results, and predict future performance of our product
• Build simulations to project impact of various product and policy interventions
• Enable objective decision making across the company by democratizing data through dashboards and other analytical tools
• Use expertise in causal inference, machine learning, complex systems modeling, operations research, economics, etc. to shape the future of Instacart
• Present findings in a compelling way to influence Instacart’s leadership
• Have the freedom to suggest and drive organization-wide initiatives
• Grow and level up the people around you. The team should be better at what they do because of your presence.

 ABOUT YOU

• Advanced degree in a quantitative field with 5+ years of working experience as a data scientist
• Experience working on gig economy issues, multi-sided marketplaces, logistics, or e-commerce 
• Experience in supply & demand shaping, logistics, pricing and other types of Marketplace project work
• Strong track record in forming effective cross-functional partnerships with stakeholders
• Ability to create and improve team processes and articulate a technical vision and strategy
• Experience driving quarterly or half-yearly planning processes 
• Ability to run rigorous experiments and come up with scientifically sound recommendations
• Ability to write complex, efficient, and eloquent SQL queries to extract data
• Ability to write efficient and eloquent code in Python or R
• Ability to translate business needs into analytical frameworks
• Eagerness to learn, flexibility to pivot when needed, savviness to navigate and thrive in a dynamic environment, and a growth mindset needed to build a successful team and company

#LI-Remote