We are seeking an experienced Data Scientist to join the Messenger Data Science team.A successful candidate will be responsible for tackling high priority product challenges for Messenger and IG Direct messaging experiences. This individual will be an expereinced leader on the team working across many Messenger product areas and with data scientists both within Messenger and across Meta. Specifically, in this role this person can expect to lead:1. Our Return on Investment (ROI) effortsquantifying ROI of messaging products and features. This involves analyzing the costs and benefits associated with new and existing features, and using this information to make data-driven decisions about how to allocate resources and prioritize efforts.2. The largest messaging priorities.Given this is a central role reporting to the head of Messenger product data science, this individual will tackle the largest opportunities and challenges in the messaging space. This can range from new 0-1 bets, improvement of high impact features or new efforts around monetization or costs. This individual will have the opportunity to partner with leaders across different teams to drive strong outcomes and build great products.

Data Scientist, Messenger Responsibilities:

• Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
• Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.
• Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
• Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
• Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

Minimum Qualifications:

• Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
• 8+ years of experience in Product Data Science, including in depth experience with experimentation.
• Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
• Experience with predictive modeling, machine learning, and experimentation/causal inference methods.
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

Preferred Qualifications:

• Masters or Ph.D. Degree in a quantitative field.

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.