Instagram Reels Ecosystems Data Scientist

Key Skills

Java Programming, Python Programming, SQL, SAS, Mathematics, Geospatial Statistical

Job Description

Instagram is one of the largest and most used apps in the world with over a billion plus daily active users, and Instagram Reels is our fastest growing product. Reels’ mission is to bring short-form video entertainment to Instagram. It's a high priority and rapidly expanding team that spans both video creation as well as viewer engagement, and collaborates with other teams and products within Instagram and Meta as a whole. We are a passionate and nimble group of data scientists who cares deeply about Instagram and Reels and building great products. This is a highly collaborative organization that enjoys seeing our work manifest in the world and helping users enjoy their product experience more. We are looking for a Data Scientist to act as a strategic thought leader and tackle blue-sky questions impacting the product strategy for Instagram Reels. This Data Scientist would also serve as an interface with leadership by providing regular updates and strategic insights that knit together pieces of Reels that touch multiple organizations within Instagram and Meta.

Responsibilities

• Execute on the technical details of quantitative analyses. Think proactively and creatively about user problems, partner with other data scientists, and work hand-in-hand with engineering to implement sophisticated experimentation to answer high priority and impactful questions
• Effectively communicate insights and recommendations to cross-functional executive leadership. Influence to shape strategy, identify opportunities, and contribute to product roadmaps
• Mentor and support analytics partners across the space

Minimum Qualifications

• Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
• Degree in an analytical field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research)
• 6+ years of experience doing complex quantitative analysis and working with distributed (i.e. hive, hadoop or similar databases) or highly complex datasets
• 6+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, MATLAB)
• 4+ years of experience communicating the results of analyses to leadership teams to influence the strategy
• Effective product sense and analytical experience driving informed product decisions

Preferred Qualifications

• Experience communicating complex research in a clear, precise, and actionable manner
• Experience leading complex analytics projects across multiple functions and stakeholders
• Demonstrated success in using analytics to drive the understanding, progression, and user engagement of a product/platform
• Comfort proposing, designing, and analyzing complex, large-scale experiments