Data Scientist, Product Analytics

About the Role

Key Responsibilities

• Applying expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how Meta users interact with our consumer and business products.
• Mine massive amounts of data and perform large-scale data analysis to extract useful business insights.
• Develop data pipelines with automated, machine-learning systems that convert noisy core datasets into powerful signals of user behavior.
• Build models of user behaviors for analysis or to power production systems.
• Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
• Design and implement dashboards and reports that track key business metrics and provide actionable insights.
• Inform, influence, support, and execute our product decisions and product launches by effectively communicating results to cross functional groups.
• Work across areas of product operations, exploratory analysis, product leadership, and data infrastructure to help shape the future of what we build at Meta.
• 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.

Requirements

• Requires a Master's degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field.
• Requires 3 years of work experience in the job offered or in a computer-related occupation.
• Requires 2 years of experience in performing quantitative analysis including data mining on highly complex data sets.
• Experience with data querying language: SQL.
• Experience with scripting language: Python.
• Experience with statistical or mathematical software including R, SAS, or Matlab.
• Experience with applied statistics or experimentation, such as A/B testing, in an industry setting.
• Knowledge of machine learning techniques.
• Experience with ETL (Extract, Transform, Load) processes.
• Familiarity with relational databases.
• Experience with large-scale data processing infrastructures using distributed systems.
• Knowledge of quantitative analysis techniques, including clustering, regression, pattern recognition, or descriptive and inferential statistics.