Data Science Director, Instagram - Product Foundation

Key Skills

Java Programming, Python Programming, SQL, Scala Programming, Data Engineering

Job Description

Instagram is one of the largest and fastest growing apps in the world, with over 1 Billion plus daily active users. Within Instagram, one of our largest organizational pillars is Instagram Product Foundation, whose mission is to create a well-crafted Instagram experience that works for all users, anywhere. We want an Instagram that is accessible, high-quality, and inclusive of the needs of all our users. The Data Science Director of Product Foundation will lead teams of data scientists across four sub-pillars, each focused on broad, cross-Instagram experiences. Several of these sub-pillars will have dedicated DS managers. The Product Foundation organization drives significant user engagement and retention wins through improving the holistic user experiences across all interfaces. These improvements are driven from performance optimizations, higher craft & visual quality, improved notification relevance, and more. Additionally, the organization enables other teams across Instagram, through offering critical platforms and programs for them to leverage. Interfaces: Focused on cross-Instagram experiences across our primary interfaces of IG Web, IG4A and IG4iOS. The organization drives mobile and web experiences holistically across IG, including our Design Systems and Accessibility efforts. Communication: Focused on creating a cohesive communication experience across Instagram. Teams are responsible for the end-to-end experience of how and when we message our users to power Instagram engagement and brand positioning. Performance: Focused on delivering exceptional performance to every person, everywhere, at scale. Pivotal organization that impacts the entire Instagram experience, and has been a major driver of engagement for Instagram, especially in emerging markets. Organization has three major teams: User Experience, Scale, and Media Platform. Devex & Services: Focused on ensuring Instagram’s reliability and uptime while also enabling Instagram’s developers. Organization includes Client Infra, Server Dev Infra, and Capacity, Web Server, & Demand teams. We are looking for a leader with excellent product sense and analytical ability to drive informed product and engagement decisions. You have a proven track record of focusing organizations on results, using analytics to drive understanding and decision-making for both products and platforms. Equally important, you have a proven track record of growing organizations, hiring & mentoring managers, and enabling people to hit their career aspirations. Finally, this is a high-visibility role, so the ideal candidate has very strong communication skills and should be comfortable interfacing with leaders in a cross-functional capacity within a fast-paced, multidisciplinary environment.

Responsibilities

• Determine organizational goals to guide and prioritize product roadmaps and platform strategy, generate new product directions, and perform as strategic thought leader across functions.
• Manage and scale the Data Science function for Instagram Product Foundation. Grow the organization, hire leaders, and maintain a high bar of analytical depth for your teams.
• Think creatively about user problems, guide broader teams in their analytics studies and experimentation to identify new product opportunities and shape product strategy.
• Lead cross-functional and cross-team relationship building and collaboration with Product, Engineering, Data, and Infra teams across Instagram and Facebook.

Minimum Qualifications

• 7+ years experience managing a team of analysts, data scientists.
• 7+ years of experience doing quantitative analysis.
• 7+ years of work experience managing analytics teams, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development.
• Experience in cross-functional partnership among teams of Engineering, Design, PM, Data Engineering.
• Experience initiating and driving projects to completion autonomously.