Meta is looking to solve complex business problems by leveraging large-scale data analysis and statistical modeling to inform business decisions.
Requirements
- Performing quantitative analysis including data mining 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 A/B testing, in an industry setting
- Machine learning techniques
- ETL (Extract, Transform, Load) processes
Responsibilities
- Perform large-scale data analysis and develop effective statistical models for segmentation, classification, optimization, and time series.
- Design and implement reporting dashboards that track key business metrics and provide actionable insights.
- Work closely with Product or Engineering and Operations teams to proactively create rule and manage decisions.
- Prioritize leads so that the teams work on the most valuable cases.
- Suggest improvements in the tools and techniques to help scale the team.
Other
- Requires a Master's degree (or foreign equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, or related field.
- Completion of graduate-level coursework, research project or internship involving the required skills.
