Data Scientist

Meta•Sunnyvale, CA

31d

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. Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps 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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Requirements

Requires Doctorate degree in Statistics, Mathematics, Economics, or a related field
Completion of a graduate level course, research project, or internship involving each of the following:
Performing quantitative analysis including datamining on highly complex data sets
Data querying language(s) including SQL
Scripting language(s) including Python
Statistical or mathematical software including one of the following: R, SAS, or Matlab
Applied statistics or experimentation, such as AB testing, in an industry setting
Machine learning techniques
ETL(Extract, Transform, Load) processes
Relational databases
Large-scale data processing infrastructures using distributed systems and
Quantitative analysis techniques, including one of the following: clustering, regression, patternr ecognition, or descriptive and inferential statistics

Responsibilities

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 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.
Forecast and set product team goals.
Design and evaluate experiments.
Monitor key product metrics, understand root causes of changes in metrics.
Build and analyze dashboards and reports.
Build key data sets to empower operational and exploratory analysis.
Evaluate and define metrics.
Propose what-to-build in the next roadmap.
Understand ecosystems, user behaviors, and long-term trends.
Identify new levers to help move key metrics.
Build models of user behaviors for analysis or to power production systems.
Influence product teams through the presentation of data-based recommendations.
Communicate state of business and experiment results to product teams.
Spread best practices to analytics and product teams.
Work in Hadoop, Hive, MySQL, Oracle, and Vertica.
Automate analyses and author pipelines via SQL and Python-based ETL framework.