Facebook was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Facebook offers countless ways to make an impact in a fast growing organization.

Are you passionate about Facebook’s product, analytics and technology? The Analytics team is looking for fast-moving analytics candidates and data junkies who want to make an impact. Candidates will help own analytics for a particular product or business at Facebook and work with product managers and engineers to translate the analysis into meaningful impact to the business. Please note that candidates will have a general interview and then we will make a determination of actual team assignments.

Responsibilities

• Perform large-scale data analysis and develop effective statistical models for segmentation, classification, optimization, time series, etc.
• Design and implement reporting dashboards that track key business metrics and provide actionable insights
• Identify actionable insights, suggest recommendations and influence the direction of the business by effectively communicating results to cross functional groups
• Work closely with Product or Engineering & Operations teams to proactively create rule and manage decisions
• Prioritize leads so that the teams work on the most valuable cases
• Suggest improvements in the tools and techniques to help scale the team

Requirements

• BS, MS or PhD degree in a quantitative discipline (applied mathematics, statistics, computer science, operations research, or related field) from a leading academic institution
• 1+ years of experience in solving analytical problems using quantitative approaches (or equivalent)
• Strong Programmer - Python, Perl, Java, and/or C++. Experience with relational database (SQL, PL*SQL) is a plus
• A passion for problem-solving, comfort with ambiguity, and creativity
• Demonstrated success presenting complex research data (qualitative and quantitative) in a clear and compelling manner that inspires action
• Experience utilizing both qualitative analysis (e.g., content analysis, phenomenology, hypothesis testing) and quantitative analysis techniques (e.g., clustering, regression, pattern recognition, descriptive and inferential statistics)
• Ability to thrive in a dynamic and fast-paced environment and drive change, and collaborate effectively with a variety of individuals and organizations
• Active Facebook user