Manager, Data Science - Emerging Products
San Francisco, CA - Remote
Applications have closed
Instacart
Order same-day delivery or pickup from more than 300 retailers and grocers. Download the Instacart app or start shopping online now with Instacart to get groceries, alcohol, home essentials, and more delivered to you <b>in as fast as 1 hour</b>...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
Instacart features the largest selection of retail partners providing same day delivery in North America. Customers have access to over 300 retail and CPG partners across many verticals. The Emerging Products team is responsible for how we build new and novel experiences addressing more and more customer needs on Instacart.
As Data Science manager for Emerging Products, you’ll hire and lead a team of data scientists responsible for growing and driving Instacart’s growth into new and emerging markets. Your team will define how Instacart thinks about new markets as well as how we expand the number of use cases that customers turn to Instacart for. You will be a trusted partner to Directors of Product, and Engineering. We’re looking for an experienced leader who can hit the ground running and influence decision-making across the entire organization.
ABOUT THE JOB
- Build and lead a high-performing team of data scientists
- You will be responsible for the health of your teams' data - its completeness and its quality
- You and your team will have a high impact on your stakeholder teams, product and operations, and will hold yourselves accountable to measurable improvements in business outcomes
- You and your team will design rigorous experiments and interpret results to draw detailed and actionable conclusions
- You and your team will develop statistical models to extract trends, measure results, and predict future performance of our product
- You and your team will enable objective decision making across the company by democratizing data through dashboards and other analytical tools
- You and your team will use expertise in causal inference, machine learning, complex systems modeling, behavioral decision theory etc. to shape the future of Instacart
- You and your team will present findings in a compelling way to influence Instacart’s leadership
ABOUT YOU
- 5+ years experience working in a quantitative role at a product company or a research organization
- 2+ years of experience managing a team of data scientists is a plus
- Experience leading teams working on growth, new products, or ecommerce is a plus.
- Ability to run rigorous experiments and come up with scientifically sound recommendations
- Ability to write complex, efficient, and eloquent SQL queries to extract data
- A desire to build and improve consumer software products
- 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
Tags: Causal inference E-commerce Engineering Machine Learning Research SQL
Perks/benefits: Career development Flex hours Startup environment
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