Data Scientist, Analytics

Meta • Menlo Park, CA

83d • $209,720 - $235,400

About The Position

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services 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. To apply, click “Apply to Job” online on this web page.

Requirements

• Master's degree (or foreign degree equivalent) in Computer Science, Data Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field.
• Completion of a university-level course, research project, internship, or thesis in performing quantitative analysis including data mining on highly complex data sets.
• Proficiency in data querying language: SQL.
• Proficiency in scripting language: Python.
• Experience with statistical software: R.
• Applied statistics in an industry setting.
• Knowledge of machine learning techniques.
• Experience with ETL (Extract, Transform, Load) processes.
• Familiarity with relational databases.
• Experience with large-scale data processing infrastructures using distributed systems.
• Knowledge of quantitative analysis techniques, including clustering, regression, and descriptive and inferential statistics.

Responsibilities

• Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of Meta products.
• Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products.
• Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
• Inform, influence, support, and execute our product decisions and product launches.
• May be assigned projects in various areas including, but not limited to, product operations, exploratory analysis, product influence, and data infrastructure.
• Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
• Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
• Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
• Work cross functionally and communicating data insights to drive business decisions.

Benefits

• Bonus
• Equity
• Comprehensive benefits package

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Industry: Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services
• Education Level: Master's degree