Instacart

Sr Manager, Data Science Enterprise

Instacart

Remote job description

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 is looking to hire an accomplished Senior Manager of Data Science with experience leading world-class teams at a high-growth company. In this position, you will partner with senior product and engineering leadership to grow and drive Instacart's Enterprise products. The Enterprise team provides a suite of white-label e-commerce solutions and fulfillment technologies to Grocery retailers.

As the Sr Manager of Data Science for Instacart Enterprise, you will hire and build the data science team that oversees all data, analytics, experimentations and insights across the suite of Enterprise e-commerce platforms. You will oversee experimentation design and analysis framework to help deepen our understanding of customers journeys, identify product opportunities and drive efforts to determine and implement key metrics and the levers to influence them. You will be fostering a data-first approach to help our Enterprise teams operate effectively and will play a significant role in helping us grow our Enterprise business over the next 2-3 years. You will be a trusted partner to Directors and VPs of Product and Engineering. We're looking for an experienced leader who can hit the ground running and influence decision-making across the organization.

ABOUT THE JOB

  • Build and lead a high-performing team of data scientists
  • Oversee the design of rigorous experiments and interpret results to draw detailed and actionable conclusions
  • Lead the development of statistical models to extract trends, measure results, and predict future performance of our product
  • 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, behavioral decision theory etc. to shape the future of Enterprise products at Instacart
  • Present findings in a compelling way to influence Instacart's Enterprise leadership and product decision making

ABOUT YOU

  • 8+ 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, economists or product analysts
  • Ability to translate business needs into analytical frameworks & superior verbal and written communication skills
  • Ability to influence and collaborate in cross-functional capacity with leaders in engineering, product, finance, etc
  • Ability to design & run rigorous experiments and come up with sound recommendations
  • Ability to write complex, efficient, and eloquent SQL queries to extract data
  • Experience coding with a programming language such as Python or R
  • 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




Summary
Company name: Instacart
Remote job title: Sr Manager, Data Science Enterprise
Job tags: Rlang, Python, finance

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