QualificationsTime managementHadoopPandasNatural language processingApache HiveDoctoral degreeMaster of Business AdministrationMaster’s degree
Partner with marketing, research, and product organizations to scope, design, execute, measure, and improve the impact of our marketing efforts of our business
Translate data insights into actions and recommendations that will drive user growth and engagement while improving marketing effectiveness
Expertise in advanced experimentation methods such as randomized trial, network experiments, geo-based testing, cross over experiments, synthetic control to measure marketing’s impact globally, and across our suite of AR/VR products (e.g., Oculus, Portal, etc.)
Identify, design and test optimization methods to improve marketing performance across digital channels as well as linear TV to maximize FRL product growth
Develop quantitative analysis, tools, ad hoc reports, and models to support marketing decision making. Analysis areas might include (but not limited to): acquisition, retention, lifetime value, targeting, messaging, promotions, usage and engagement
Produce data visualization such as charts, infographic, and dashboards to communicate findings and actionable recommendations to internal stakeholders clearly and effectively
A degree in economics, operations research, mathematics, statistics, engineering, psychology, or another field with quantitative roots and demands
4+ years of experience in data analysis, data science, decision science, or similar quantitative fields, applying experimentation methods to test various hypotheses for customer segmentation, user growth, and outbound marketing campaign evaluation
Experience finding and manipulating data to build data sets
Experience with statistical modeling and data analysis experience (e.g. significance testing, regression modeling, sampling theory, etc.)
Experience using R or Python or a similar scripting language for statistical modeling
Experience with SQL, Hive, Presto, Hadoop, or other data querying languages
Communication skills and stakeholder management. Experience translating quantitative findings into actionable insights and influence business decisions
An MBA or Master’s or Doctorate degree in economics, operational research, mathematics, statistics, engineering, psychology, or another field with strong quantitative roots and demands
Management consulting experience or a similar career requiring one to present data-driven insights to business audiences
Experience developing data pipelines
Experience writing production code for automated models
Experience using open-source statistical packages such as Dplyr, Rstudio, NumPy, Pandas
Basic experience or basic understanding of machine learning, data mining, and natural language processing
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.
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