: Data Scientist, Analytics - AI Commerce

Intro

Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.

Summary

The mission of the AI Commerce team is to leverage AI to grow Commerce as a new line ofbusiness for Facebook's family of apps. In 2 to 3 years, we envision people coming to our family of apps as their primary shopping destination, with AI helping them find products they want to buy through a personalized and contextually relevant shopper journey.We are looking for a strong statistical and business thinker to be responsible for driving AICommerce effectiveness and growth. AI Commerce technology is applicable to the wide array ofuse cases, from video search to making every post shoppable, and is relevant to the whole familyof apps, from IG to Marketplace, and from Ads to new user experiences. We want to support our AI Commerce journey and guide it to higher effectiveness and larger impact through providingmetric definitions and facilitating goals settings. This Data Scientist will be creating and implementing measurement and opportunity sizing frameworks, experiment design and analysis, constructing training, evaluation datasets, and understanding major success drivers through data analysis and visualization.

Required Skills

  • Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products.
  • Define problems and opportunities in a complex or ambiguous area.
  • Inform, influence, support, and execute our product decisions and product launches.
  • Partner with Product and Engineering teams to solve problems and identify new levers to improve user experience.
  • Monitoring key product metrics, understanding root causes of changes in metrics.
  • Influencing product teams through presentation of data-based recommendations, and clearly communicating state of business, experiment results, etc. to product teams.
Full-time

Employee Testimonials

Edward Fagin (Photo credit: Ryan Mack)
Edward Fagin
Engineering Manager

I'm an engineering manager on our real-time infrastructure team, and my team focuses on GraphQL Subscriptions — a component of the widely-used GraphQL open source query language for APIs — that makes it easier for engineers to build real-time features into their products. At Facebook, this framework powers a number of features that people use every day, including comment-typing indicators and streaming reactions on live videos.

At Facebook, you have the opportunity to contribute to an incredibly wide range of infrastructure projects. While our engineers have a variety of expertise, they share a passion for solving complex engineering challenges at scale. It's humbling to know that everything you work on can potentially impact more than two billion people around the world.

Vaneeta Singh (Photo credit: Ryan Mack)
Vaneeta Singh
Engineering Manager

We develop the network software for Facebook applications on iOS and Android platforms. This includes measuring and improving performance, reliability, security, and efficiency of network communication with Facebook servers. Getting the most out of a diverse set of worldwide mobile networks, and millions of handsets with a wide range of hardware capabilities is challenging as well as fun. All this while we play good citizens in these networks and are mindful of the device battery, storage, and data consumption.