QualificationsSQLApache HiveTableauNatural language processingMarketingDoctoral degreeBachelor’s degreeMaster’s degreeDoctor of Philosophy
Data exploration and ETL, creation and maintenance of data pipelines, quantitative modeling and analysis, data visualization and dashboarding, and communication of insights and recommendations
Work with large and complex data sets to solve a wide array of challenging problems using different analytical methods
Manage the full cycle of a data science project from data requirement gathering all the way to reporting/communication of findings
Partner with research teams and use internal data to inform research, test hypotheses, and supplement third party research work
Partner with marketing/sales and other relevant cross-functional teams to scope, design, and execute data science projects that uncover actionable insights to enable marketing and sales
Proactively identify opportunities to improve existing work or to fill in gaps
Share some of the managerial responsibilities in team development and community building
3+ years of experience in a data science/analytics capacity, performing applied quantitative analysis utilizing large data sets
3+ years experience in SQL and Python (or R)
3+ years experience in dashboarding using Tableau or similar tools
Experience with distributed computing (Hive/Hadoop)
Experience in communicating results and analyses to technical and non-technical audiences
Experience in collaborating with cross-functional partners
Experience managing multiple priorities and adapt to rapidly changing business environment
Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Master’s or Ph.D. degree in a quantitative field (e.g. Statistics, Applied Mathematics, Operations Research, Industrial Engineering, Econometrics, Data Science) or in Business Analytics with a strong quantitative background
Experience in developing data pipelines via SQL and Python-based ETL framework
Experience in using NLP, ML, and topic modeling to surface insights from large-scale text data
Experience in advanced statistical or probabilistic modeling
Proven track record of leveraging data and analytics to drive business value
Experience initiating and driving projects with minimal oversight
Experience building strong cross-functional relationships and driving collaborations
Experience working with Marketing/Sales functions
Knowledge of the advertising/marketing industry, in particular the digital advertising ecosystem
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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