Data Scientist, Product

About the Role

Key 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 data presentation to understand user interactions with consumer and business 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 areas including product operations, exploratory analysis, product influence, and data infrastructure.
• Work on problems of moderate scope requiring analysis of various factors.
• Exercise judgment within defined procedures and practices to determine appropriate actions.

Requirements

• Bachelor's degree (or foreign equivalent) in Statistics, Mathematics, Data Analytics, Computer Science, Engineering, Information Systems, Applied Sciences, or a related field.
• Completion of a university-level course, research project, internship, or thesis involving:
• - Performing quantitative analysis including data mining on highly complex data sets.
• - Data querying language: SQL.
• - Scripting language: Python.
• - Statistical or mathematical software such as 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 clustering, regression, pattern recognition, or descriptive and inferential statistics.

Qualifications

• Bachelor's degree in a relevant field.
• Experience with data mining, SQL, Python, R/SAS/Matlab, machine learning, ETL, relational databases, and distributed data processing.

Benefits & Perks

• $211,582/year to $279,400/year + bonus + equity + benefits