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norka_0Нашла, вот, очень приятное объявление - в Фейсбук, оказываеться, требуются не только технари! Мне очень приятно. Обнадеживает :)
Careers at Facebook - Quantitative Analyst, Monetization
Requirements
Graduate training (PhD-level) in a quantitative discipline such as Economics, Political Science, Statistics, Business, Sociology, Psychology, Public Policy or Education
Fundamental understanding of experimental design and applied statistics
Expertise using R with large datasets
familiarity with SQL or a scripting language (PHP, Python, Perl, etc.) also a plus
Strong interpersonal skills with demonstrated ability to communicate practical insights and technical content to broader audiences
Ability to manage multiple concurrent projects
Experience with advertising or marketing via prior work or research a big plus.
The Monetization Analytics team is seeking an exceptional PhD-level, quantitatively-oriented analyst to support its advertising business. Analysts develop expertise in areas of Facebook’s advertising operations and provide recommendations fueled by detailed analysis of observational and experimental data. They work cross-functionally with Product, Engineering and Business teams and help shape the future of advertising on the Internet. The team is looking for someone specializing in statistical analysis and research design, with a strong background both designing experiments and making causal inferences from observational data. The ideal candidate will be intellectually curious, data-driven, a fast learner, and have an interest in working collaboratively to advance the team’s goals. This is a full-time position and is located in our Menlo Park, CA office.
Responsibilities
Analyze experimental and observational advertising data and provide insights regarding how to improve effectiveness
Evaluate Facebook and 3rd party measurement methodologies
Recommend product changes based on robust analysis of user and advertiser behavior
Support Measurement, Engineering and Marketing colleagues with high-quality and timely data analysis in support of new or enhanced products
Careers at Facebook - Quantitative Analyst, Monetization
Requirements
Graduate training (PhD-level) in a quantitative discipline such as Economics, Political Science, Statistics, Business, Sociology, Psychology, Public Policy or Education
Fundamental understanding of experimental design and applied statistics
Expertise using R with large datasets
familiarity with SQL or a scripting language (PHP, Python, Perl, etc.) also a plus
Strong interpersonal skills with demonstrated ability to communicate practical insights and technical content to broader audiences
Ability to manage multiple concurrent projects
Experience with advertising or marketing via prior work or research a big plus.
The Monetization Analytics team is seeking an exceptional PhD-level, quantitatively-oriented analyst to support its advertising business. Analysts develop expertise in areas of Facebook’s advertising operations and provide recommendations fueled by detailed analysis of observational and experimental data. They work cross-functionally with Product, Engineering and Business teams and help shape the future of advertising on the Internet. The team is looking for someone specializing in statistical analysis and research design, with a strong background both designing experiments and making causal inferences from observational data. The ideal candidate will be intellectually curious, data-driven, a fast learner, and have an interest in working collaboratively to advance the team’s goals. This is a full-time position and is located in our Menlo Park, CA office.
Responsibilities
Analyze experimental and observational advertising data and provide insights regarding how to improve effectiveness
Evaluate Facebook and 3rd party measurement methodologies
Recommend product changes based on robust analysis of user and advertiser behavior
Support Measurement, Engineering and Marketing colleagues with high-quality and timely data analysis in support of new or enhanced products
