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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.
Passionate about diving into the world of big data and trends analyses? Interested in solving complex problems that are geared towards improving Facebook and it’s community’s experiences? Excited about learning how to scale and automate processes? Come join Ads Integrity at Facebook! The Ads Integrity team ensures our platform is a high quality ecosystem for users, developers, and advertisers to create and promote digital content. We focus on unlocking new revenue sources, protecting Facebook from legal risk and improving our users’ sentiment with regard to Facebook’s advertisements. Our focus on data analysis allows us to work effectively with our engineering and product teams to build proprietary tools and techniques to enforce the quality of all promoted content at scale. We also partner closely with our sales and policy partners to ensure our users and advertisers aren’t adversely affected by our efforts. In addition, we find patterns amid ambiguity of reviewed ads to deconstruct emerging patterns and trends. Successful candidates for this team have a bias toward action and enjoy finding patterns amid chaos, making quick decisions, and aren't afraid of being wrong. This position is located in our Hyderabad office.
Responsibilities
- Review and take action on suspicious advertiser behavior while identifying trend characteristics that can enhance automation
- Conduct in-depth investigations leveraging large and complex data sets
- Lead analysts in complex investigations to improve user and advertiser experience on the platform
- Inform, influence, and execute new strategies and tactics using sound analysis and impact metrics to support your positions
- Lead data projects, define KPI's, spec data product requirements, work with engineering to ensure a successful implementation, analyze and provide actionable insights
- Surface key advertiser and user sentiment insights to key teams within Facebook serving as a strong cross-functional leader
- Apply your expertise in quantitative analysis, data mining, and data visualization to tell the story behind the numbers and understand user and advertiser sentiment better
- Develop and lead end-to-end project plans and ensure on-time delivery of critical Integrity initiatives
- Monitor models, rules, and analyst performance to optimize quality and correct deficiencies
- Partner with Product and Engineering teams, Sales and support teams, Global policy and legal teams to solve problems at scale and improve our user/advertiser ecosystem based on feedback
- Manage, coordinate, and/or support policy enforcement projects as needed
- Coach and mentor junior members on the team to drive impact ful results
Requirements
- BA/BS degree with 5+ years professional experience (quantitative disciplines such as math, statistics, computer science, information systems preferred)
- Ability to source and skillfully manipulate both internal and external data sets
- Excellent communication skills
- Highly motivated and hard-working with ability to think clearly under pressure, both individually and in team environment
- Strategic thinker with strong analytical and creative problem-solving skills
- Demonstrated ability to develop and present business cases
- Ability to rapidly assess, analyze and resolve complicated issues, and distill that complexity into simple and concise communication
- Strong analytical skills, with experience solving ambiguous problems using data and providing practical business insights
- Strong understanding of statistical analysis or SQL or Excel skills
- Good statistical and data analysis skills (e.g. significance testing, regression modelling, factor analysis, etc.) or experience in machine learning, predictive or descriptive analytics, preferred