Meta Platforms, Inc. is looking to solve the problem of continued growth of Facebook's infrastructure and expansion of Meta's infrastructure across various domains
Requirements
- Performing quantitative analysis including data mining on highly complex data sets
- Data querying language(s) including SQL
- Scripting language(s) including Python
- Statistical or mathematical software including R, SAS, or Matlab
- Applied statistics or experimentation, including A/B testing, in an industry setting
- Machine learning techniques
- ETL (Extract, Transform, Load) processes
- Relational databases
Responsibilities
- Collect, organize, interpret, and summarize statistical data in order to contribute to the continued growth of Facebook's infrastructure
- Apply experience in quantitative analysis and data mining to improve, optimize, and expand Meta's infrastructure across a variety of domains with an emphasis on long-term and strategic initiatives
- Build pragmatic, scalable, and statistically rigorous solutions to large-scale web, mobile and data infrastructure problems by leveraging or developing statistical and machine learning methodologies
- Drive efficient data exploration and modeling
- Ensure coordination of projects across related workflows to maximize impact and avoid duplication and overlaps
- Generalize methodologies for broader application within and outside domain
- Drive execution through fast iteration
Other
- Bachelor's degree (or foreign equivalent) in Computer Science, Engineering, Mathematics, Statistics or related field
- Work cross-functionally as a strategic partner to define priorities and develop project roadmaps in synergy with partner teams
- Build consensus and earn commitment from partners
- Exercise limited judgment within defined procedures and practices to determine appropriate action
- Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process
