: Data Science, Analytics-Ads and Business Products Ecosystems

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

In this role, you will drive analytical work critical to informing and supporting Facebook Inc.s Ads and Business Platform (ABP) short and long-term strategy. The ABP Ecosystems team sits horizontally across the companys core monetization teams, tasked with understanding the key levers and risks in the $70 Billion business across the family of apps. As an analytics leader, you would work with cross-functional partners and other data scientists on both long and short-term analyses, communicating findings and recommendations to FB executives.You will be responsible for defining and executing complex data investigation projects; including identifying relevant data from existing sources, proposing new data collection schemes, and analyzing, driving insights and constructing predictive models and algorithms. You will be expected to use data to provide meaningful recommendations and actionable strategies to key stakeholders, and develop best practices, including streamlining of data sources and related programmatic initiatives. The ideal candidate will have experience and passion for solving ambiguous and challenging problems in ads, business, or economic fields. Additionally, you will have a proven track record of thought leadership and impact in developing high quality analytics programs and working across functions to uncover and shape data-driven recommendations.

Required Skills

  • Work independently to design, prototype, and implement complex analyses on Facebook Inc.s ads and business ecosystem
  • Partner with relevant engineering, data science, and research teams across Facebook Inc. to uncover and analyze data relevant to informing the direction of ABPs future
  • Plan, lead, and be able to conduct as needed, timely analyses on Facebook Inc.s ads revenue business
  • Effectively communicate insights and recommendations on company strategy to executives
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.