QualificationsStatistical analysisPerlInformation securitySQLApache HiveMaster’s degree
Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how Facebook 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.
Master’s degree in Computer Science, Human Computer Interaction, Computer Applications, Software Engineering, Computer Information Systems, Systems Engineering, Information Technology, Information Security, Information Networking, Computer Science & Engineering, Electrical and Computer Engineering, Mathematics, Engineering and Information Technology, Electrical Engineering, Computer Engineering, Electronic/ Electronics Engineering, Engineering, Applied Sciences, Mathematics, Physics, Statistics, or related field and 24 months of work experience in job offered or alternate occupation of Software Developer, Software Engineer (all levels), Software Development Engineer, Test Engineer, Quality Engineer, Systems Engineer, Computer Programmer, Data Scientist, Data Science Engineer (all levels), Programmer/Analyst, Computer Systems Analyst, Web Developer, Web Application Developer, Project Engineer, Engineer, Member of Technical Staff, Technology Lead, Consultant, Assistant Consultant, Research Assistant, Intern, or related field. Experience must include 24 months of experience in each of the following:
Machine learning techniques
Relational database (SQL or PL*SQL)
Developing in scripting language: PHP, Python, or Perl
Statistical analysis using R, MATLAB, SPSS, SAS, or Stata
Large scale data processing infrastructures using distributed systems (Hadoop, Hive, MapReduce, or MPI)
Quantitative analysis techniques: clustering, regression, pattern recognition, or descriptive and inferential statistics
Communicating and presenting results of data analyses.
Facebook’s mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we’re building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we’re creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities – we’re just getting started.
Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected]