Data Scientist-Data Center

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.

In this role, your primary responsibility will be to partner with key stakeholders and lead the development of an analytics program to support and enable the continued growth critical to Facebook's Data Center organization. As we plan to grow our Data Center organization, we need to leverage data to drive decisions and introduce automation, predictability & optimization to allow us to operate efficiently and reliably at scale. You will be responsible for creating end to end analytics programs, from data sourcing to surfacing insights and driving action, for various aspects of Facebook's global data center operations. You will also help translate data and identify efficiency opportunities. You will be expected to use data to provide meaningful recommendations and actionable strategies to key stakeholders, and develop best practices, including streamlining of data sources and related programmatic initiatives.
The ideal candidate will have a passion for working in white space and creating impact from the ground up in a fast-paced environment. Additionally, you will have a proven track record of thought leadership and impact in developing similar analytics and metrics-based programs. This position is part of the Infrastructure Data Center team and located in Dublin, Ireland

• Leverage data and business principles to create and drive large scale FB Data Center - Data Science programs.
• Collaborate with cross-functional data, product, and engineering teams across business applications to define problem statements, access and manipulate data, build analytical models, explain data-gathering requirements, deliver analytics insights, and make recommendations.
• Define, compute, track, and continuously validate business and production performance metrics with descriptive, diagnostic and predictive analytics. Bring multiple areas of business and engineering together via a common reliable foundation of common data, metrics, and insights to enhance operational performance of Facebook’s infrastructure.
• Identify and implement streamlined processes for data reporting and communication, and use analytical models to identify insights to drive key decisions across leadership and the organization.
• Partner with data engineers and software engineers to ensure high quality and reliable data is available for analysis
• Provide mentorship to other members of the team on best practices for design and implementation of cutting-edge analytics insights.
• Lead and support various ad hoc projects, as needed, in support of Facebook’s Data Center strategy.
• Leverage tools like R, Tableau, Python, and SQL to drive efficient analytics.

• Degree in an analytical field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research, Data Science, Management Science)
• 5+ years of experience in a role with data analysis and metrics development
• 5+ years of hands-on experience analyzing and interpreting data, drawing conclusions, defining recommended actions, and reporting results across stakeholders
• 5+ years of SQL development experience writing queries
• 5+ years of experience with data visualization tools
• 5+ years of experience with packages such as R, Tableau, SPSS, SAS, STATA, etc.
• 5+ years of experience with scripting in Python or PHP
• 3+ years of hands-on project management experience
• Experience leveraging data driven models to drive business decisions
• Experience using data access tools and building visualizations using large datasets and multiple data sources
• Experience communicating data insights to all organizational levels
• Experience with R or Python packages such as NumPy, SciPy, pandas, scikit-learn, dplyr, ggplot2
• Knowledge of statistics (e.g. statistics basics, statistical modeling, experimental design, hypothesis testing, etc.)
• Hands-on experience with medium to large datasets (i.e. data extraction, cleaning, analysis and presentation).
• Be a self-starter, motivated by a passion for developing the best possible solutions to problems.