Data Science Manager, WhatsApp Business Products
WhatsApp

Job Info

As a Data Science Manager at Meta, you will help shape the future of the experiences we build for billions of people. 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 cross-functional partners across Product, Engineering, Data Engineering, Finance and others. You will influence product strategy and investment decisions with data, be focused on impact, and lead and grow a high-performing team. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.About the role:WhatsApp Business Products is one of three sub-pillars of WhatsApp Business that works on New Monetization Experiences. Today, WhatApp already has two large and growing businesses: Click-to-WhatsApp Ads and Paid Messaging. But the opportunity ahead of us is even more massive. WhatsApp Business Products sub-pillar is responsible for building and growing multiple large new business opportunities for WhatsApp, most notably:- monetizing the Updates tab (Status product with 1B+ users, and Channels product with 150M+ users and rapidly growing),- launching and growing Meta AI Business Assistant to unlock new capabilities for businesses and achieve revenue impact,- launching and growing Meta Verified subscription product,- growing P2M Payments,- and supporting an ML/Ranking center of excellence team within this pillar.

Data Science Manager, WhatsApp Business Products Responsibilities:

• Drive analytics projects end-to-end in partnership with teams from Engineering, Product Management and across the Analytics community to inform, influence, support, and execute product strategy and investment decisions
• Inspire, lead, and grow a team of data scientists and manager(s) to fulfill our longer term vision.
• Actively influences the design of the strategy and shaping of the roadmap within this scope. Generate and use team insights to set and prioritize longer term goals.
• Develop understanding of complex distributed systems and sub-components, as well as broader industry challenges, to identify present and future risks and opportunities.
• Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
• Grow analytics expertise around you, upskilling your team, engineers, and others, to increase overall team impact.

Minimum Qualifications:

• BS degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, engineering), or BS/MS in a quantitative discipline with equivalent working experience.
• A minimum of 7 years of work experience (3+ years with a Ph.D.) in applied quantitative field, including a minimum of 2 years of experience managing analytics teams.
• 5+ years of experience in a team leadership role, including 2+ years of experience with people management through layers.
• A minimum of 2 years of experience working on consumer facing products
• Experience communicating both in low-level technical details as well as high-level strategies.
• Experience in cross-functional partnership among teams of Engineering, Design, PM, Data Engineering.
• Track-record driving product roadmap and execution.

Preferred Qualifications:

• Master's or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field.
• Proven track record of leading high-performing analytics teams.
• 7+ years of experience doing quantitative analysis, statistical modeling or machine learning in the experimentation space.

About Meta: