Data Scientist – Product

Data Scientist – Product

Requirements

• Bachelor’s degree in Statistics, Mathematics, Data Analytics, Data Science, Computer Science, Engineering, Information Systems, Applied Sciences, or a related field
• Completion of a university-level course, research project, internship or thesis in 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
• Relational databases
• Large-scale data processing infrastructures using distributed systems
• Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics.

Responsibilities

• Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of Meta products.
• Apply expertise in quantitative analysis, data mining, and the presentation of data to understand user interactions with products.
• Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
• Inform, influence, support, and execute product decisions and product launches.
• May be assigned projects in various areas including 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.
• Analyze mobile application data for wearable devices.
• Analyze user onboarding journeys in a mobile application.

Preferred Qualifications

No preferred qualifications provided.