Data Scientist, Product

Meta•Sunnyvale, CA

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.

Requirements

Master's degree (or foreign equivalent degree) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field.
Completion of at least one university-level course/research project/internship/thesis, or 6 months of experience in performing quantitative analysis including data mining on highly complex data sets.
Completion of at least one university-level course/research project/internship/thesis, or 6 months of experience in data querying language: SQL.
Completion of at least one university-level course/research project/internship/thesis, or 6 months of experience in scripting language: Python.
Completion of at least one university-level course/research project/internship/thesis, or 6 months of experience in statistical or mathematical software including one of the following: R, SAS, or Matlab.
Completion of at least one university-level course/research project/internship/thesis, or 6 months of experience in applied statistics or experimentation, such as A/B testing, in an industry setting.
Completion of at least one university-level course/research project/internship/thesis, or 6 months of experience in machine learning techniques.
Completion of at least one university-level course/research project/internship/thesis, or 6 months of experience in ETL (Extract, Transform, Load) processes.
Completion of at least one university-level course/research project/internship/thesis, or 6 months of experience in relational databases.
Completion of at least one university-level course/research project/internship/thesis, or 6 months of experience in large-scale data processing infrastructures using distributed systems.
Completion of at least one university-level course/research project/internship/thesis, or 6 months of experience in quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or 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 expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how users interact with both consumer and business products.
Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
Inform, influence, support, and execute 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.
Performing quantitative analysis including data mining on highly complex data sets.
Data querying languages, such as SQL, scripting languages, such as Python, or statistical or mathematical software, such as R, SAS, or Matlab.
Applied statistics or experimentation, such as A/B testing, in an industry setting.
Communicating the results of analyses to product or leadership teams to influence strategy.
Machine learning techniques.
ETL (Extract, Transform, Load) processes.
Relational databases.
Large-scale data processing infrastructures using distributed systems.
Quantitative analysis techniques, including clustering, regression, pattern recognition, or descriptive and inferential statistics.