Data Scientist, Product Analytics (PhD) Responsibilities
Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.
Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.
Minimum Qualifications
Currently has or in the process of obtaining Ph.D. in Mathematics, Statistics, a relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
Experience with data querying languages (e.g., SQL), scripting languages (e.g., Python) or statistical packages (e.g., R)
Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
Preferred Qualifications
Experience working with distributed computing tools (MapReduce, Hadoop, Hive, etc.)
Experience working with large data sets
Experience manipulating and analyzing high-volume, high-dimensionality data from varying source
