Data Scientist Responsibilities

Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how Meta users interact with our consumer and business products.
Mine massive amounts of data 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 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.

Minimum Qualifications

Requires a Master's degree (or foreign degree equivalent) in Computer Science, Information Systems, Business Analytics, Statistics, or related field, and 24 months of experience in the job offered or in a Data Science-related occupation
Require 24 months of experience in each of the following skills and technologies:
Machine learning techniques
ETL (Extract, Transform, Load) processes
Relational database (SQL or PL*SQL)
Developing in scripting language: PHP, Python, or Perl
Statistical analysis using R, MATLAB, SPSS, SAS, or Stata
Quantitative analysis techniques: clustering, regression, pattern recognition, or descriptive and inferential statistics and
Communicating and presenting results of data analyses

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