As the most experienced Data Scientist on Instagram's Capacity Team, you have the opportunity to shape the compute and storage strategy for an app that serves content to over a 2 Billion per month. This strategy will inform the investments we are able to take on and will shape the future of people-facing and business-facing products we build. You will collaborate with our internal Instagram Capacity Team, in addition to several other teams within Instagram (like our Ranking and Algorithms teams, our forecasting team, ecosystems team) as well as several teams throughout the company including Capacity teams throughout Meta and the CFO organization responsible for our compute spending. By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around 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. You will use data and analysis to identify and solve product development’s biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product’s ecosystem. Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them. Communication and influence: You won’t simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.