Data Scientist 1039 views

The ideal candidate will have a passion for working in white space and creating an 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 Menlo Park, CA.

• Leverage data and business principles to create and drive large scale FB Data Center programs
• Define and develop the program for metrics creation, data collection, modeling, and reporting the operational performance of Facebook’s data centers
• Work cross-functionally to define problem statements, collect data, build analytical models and make recommendations
• Be a self-starter, motivated by a passion for developing the best possible solutions to problems
• Identify and implement streamlined processes for data reporting and communication
• Use analytical models to identify insights that are used to drive key decisions across the organization
• Routinely communicate metrics, trends, and other key indicators to leadership
• Provide leadership and mentorship to other members of the team
• Lead and support various ad hoc projects, as needed, in support of Facebook’s Data Center strategy
• Build and maintain data-driven optimization models, experiments, forecasting algorithms, and capacity constraint models
• Leverage tools like R, Tableau, PHP, Python, Hadoop & SQL to drive efficient analytics

• Degree in an analytical field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research, Management Science)
• 3+ years of experience in a role with data analysis and metrics development
• 3+ years of hands-on experience analyzing and interpreting data, drawing conclusions, defining recommended actions, and reporting results across stakeholders
• 3+ years of SQL development experience writing queries
• 3+ years of hands-on project management experience
• 3+ years of experience with data visualization tools
• 3+ years of experience with packages such as R, Tableau, SPSS, SAS, STATA, etc.
• 2+ years of experience with scripting in Python or PHP
• 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 thinking analytically
• Experience communicating data to all organizational levels
• Experienced with packages such as NumPy, SciPy, pandas, scikit-learn, dplyr, ggplot2
• Knowledge of statistics and optimization techniques
• Hands-on experience with medium to large datasets (i.e. data extraction, cleaning, analysis, and presentation)

• Technical knowledge of data center operations

Facebook is proud to be an Equal Opportunity and Affirmative Action employer. They 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. They also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law.