Data Science Manager

Meta • Bellevue, WA

21d

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

• Requires a Master's degree (or foreign equivalent) in Computer Science, Engineering, Engineering Management, Information Systems, Analytics, Mathematics, Physics, Applied Sciences or a related field and 2 years of work experience in the job offered or in a data/business analytics or computer-related occupation
• Requires 2 years of experience in the following:
• Working with large data sets and network-based data (TCP or HTTP)
• ETL (Extract, Transform, Load) processes
• Relational database (SQL or PLSQL)
• Statistical analysis using Python, R, MATLAB, SPSS, SAS, or Stata
• Large scale data processing infrastructures using distributed systems (Hadoop, Hive, MapReduce, MPI, Vertica,or Google BigQuery)
• Quantitative analysis techniques: clustering, regression, pattern recognition, or descriptive and inferential statistics and
• Communicating and presenting results of data analyses

Responsibilities

• Lead the collection, organization, interpretation, and summarization of statistical data to drive the strategic design and development of Meta products.
• Solve analytical problems using quantitative approaches to understanding ecosystems, user behaviors & long-term product trends, and lead data-driven projects from definition to execution.
• Collaborate with and influence Product and Engineering teams to solve complex problems, identify trends and opportunities, and shape the strategic direction of our products.
• Provide strategic insights, influence, support, and execute product decisions and launches, ensuring alignment with company-wide strategic goals.
• May be assigned to lead projects in various areas including, but not limited to, product operations, exploratory analysis, product influence, and data infrastructure.
• Tackle complex problems of diverse scope, requiring in-depth data analysis and evaluation of innovative solutions.
• Demonstrate exceptional judgment in selecting methods and techniques for obtaining solutions and driving strategic initiatives.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager