Data Scientist

Meta•New York, NY

43d

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 Business Analytics, Data Science, Computer Science, or a related field and 2 years experience in the job offered or in a related occupation
Requires 2 years experience involving the following:
Machine learning algorithms
Preference of knowledge on data privacy and security
ETL (Extract, Transform, Load) processes
Relational database (SQL or PLSQL)
Developing in programming language: PHP, Python, or Perl
Statistical analysis using R, MATLAB, SPSS, SAS, or Stata
Large scale data processing infrastructures using distributed systems (Hadoop, Spark, Hive, MapReduce, or MPI)
Quantitative analysis techniques: clustering, regression, pattern recognition, or descriptive, inferential statistics, deep learning techniques, optimization and heuristics
Communicating and presenting results of data analyses

Responsibilities

Apply your expertise in quantitative analysis, machine learning, AI, data privacy and security, and the presentation of data to see beyond the numbers and understand how Meta users interact with our consumer and business products.
Validate data quality and integrity.
Mine massive amounts of data with privacy concepts and perform large-scale data analysis to extract useful business insights.
Develop data pipelines with automated, machine-learning systems that convert noisy core datasets into powerful signals of user behavior.
Building models of user behaviors for analysis or to power production systems.
Partner with Product and Engineering teams to solve problems, support data privacy review, and identify trends and opportunities.
Design and implement dashboards and reports that track key business metrics and provide actionable insights.
Inform, influence, support, and execute our product decisions and product launches by effectively communicating results to cross functional groups.
Work across areas of product operations, exploratory analysis, product leadership, and data infrastructure to help shape the future of what we build at Meta.