Data Science Director - Instagram, Well-being

The Instagram Well-being organization is working on ensuring that Instagram is a positive force in people’s lives, the most important job we have over the next few years at Instagram. We want to make sure that people feel safe and supported when connecting with the people and things they love, and that people feel the freedom to express themselves on the platform. To do this, we build large-scale complex systems, state-of-the-art Machine Learning, and operate an infrastructure to enable detection, classification, and remediation of content, behaviors, and actors that contribute to negative experiences for our community. At the heart of the Instagram Well-being organization is the data science team whose empirical studies and rigorous analyses shape the direction of Well-being product development, striving to protect Instagram users and their data and enabling seamless development of safe and supportive products.

The Head of Data Science for Instagram Well-being will be directly responsible for managing the data science team to ensure proper goaling, experimentation, and forecasting and to develop insights that identify the biggest opportunities and gaps for the Instagram Wellbeing and Social Impact. You will work in close partnership with a top-notch group of researchers and data scientists across Meta Inc. to translate user research and expert insights into data-driven product strategies. Furthermore, this leader will be expected to serve on Instagram’s analytics leadership circle to help improve cross-Instagram Analytics team processes such as recruiting, training, and performance management.

You will work with cutting edge technology, and have the ability to see your insights turned into real products on a regular basis. The ideal candidate will have strong product intuition, experience building and managing analytics teams, will have worked with large data stores, have a background in a behavioral science discipline, and a passion for working in a mission driven culture. You are scrappy, focused on results, a self-starter, and have demonstrated success in using analytics to drive the understanding, progression, and user engagement of a product.