Data Science Manager, Instagram Business Recommendations

As a Data Science Manager at Meta, you will help shape the future of the experiences we build for billions of people and hundreds of millions of businesses, creators, and partners around the world. You will apply your people leadership, project management, analytical, and technical skills, creativity, and product intuition to one of the largest data sets in the world. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others.

IG Business(IGB) is the revenue engine for Instagram, and has contributed the lion's share of the company's revenue growth over the past few years. Within IGB, we are the Business Recommendations pillar that connect people with business love via personalized experience and recommendations that inspire trust and confidence. This team owns IG's backend ads stack and has delivered over 5% iRev from ranking, delivery, supply and quality innovations in 2023.

About the role: We are hiring for a manager to lead the ads supply & quality space. The team is responsible for managing the quantity and quality of ads in ads auction, and is tasked to solve the highest priority and challenging problem in the ads space today - How can our ads business move away from optimizing for short term revenue to directly optimizing long term value.

Key responsibilities include:

• Drive analytics projects end-to-end in partnership with cross-functional teams
• Inspire, lead, and grow a team of data scientists and manager(s)
• Actively influence strategy and shape roadmap within this scope
• Develop understanding of complex distributed systems and industry challenges
• Work with large and complex data sets to solve challenging problems
• Grow analytics expertise around you, upskilling your team and others

Join Meta to be part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.