Data Scientist

Requires a Bachelor’s degree (or foreign degree equivalent) in Statistics, Mathematics, Data Analytics, Computer Science, Systems Engineering, Information Systems, Applied Sciences, or a related field
Requires completion of university-level course work, research project or internship in the following skills:
1. Performing quantitative analysis including data mining on highly complex data sets
2. Data querying language(s) including SQL
3. Scripting language(s) including Python
4. Statistical or mathematical software including R, SAS, or Matlab
5. Applied statistics or experimentation, including A/B testing in an industry setting
6. Machine learning techniques
7. Large-scale data processing infrastructures using distributed systems
8. Quantitative analysis techniques, including clustering, regression, pattern recognition, or descriptive and inferential statistics

Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of Meta products.
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 both 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.
May be assigned projects in various areas including, but not limited to, product operations, exploratory analysis, product influence, and data infrastructure.
Work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors.
Exercise judgment within defined procedures and practices to determine appropriate action.

No preferred qualifications provided.