Meta Platforms, Inc. (Meta) is looking to solve business and technical problems by analyzing user interaction with their consumer and business products, extracting business insights from massive datasets, and building models of user behavior to power production systems and inform product decisions.
Requirements
- Performing quantitative analysis including data mining on highly complex data sets
- Data querying language: SQL
- Scripting language: Python
- Statistical or mathematical software including one of the following: R, SAS, or Matlab
- Applied statistics or experimentation, such as A/B testing, in an industry setting
- Machine learning techniques
- ETL (Extract, Transform, Load) processes
Responsibilities
- Applying 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.
- Build 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.
Other
- Requires a Master's degree (or foreign equivalent) in Mathematics, Statistics, or related field
- Work across areas of product operations, exploratory analysis, product leadership.
- Equal Employment Opportunity employer.
- Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.
