Online Safety is a team that works to protect Facebook's most vulnerable groups. We want to make sure that people are not placing themselves in danger as a result of their activity on Facebook, and on the flip side, people are not using Facebook as a means of threatening or carrying out threats against others. We're looking for a Data Scientist to help us get a deep understanding of how these groups of people use Facebook, analyze current safety trends and develop solutions to detect and mitigate risk. You will enjoy working with one of the strongest data sets in the world, cutting edge technology, and the ability to see your insights being used to protect people. The perfect candidate will have a background in a quantitative or technical field and experience in data-driven decision making. Beyond technical skills, you need to pay attention to detail and the ability to effectively present results. You need to be focused on impact, a self-starter, and have demonstrated success in using analytics to drive the understanding, growth, and success of a product. This is a full-time position located at our headquarters in Menlo Park, CA.
* Conduct exploratory analysis of safety cases in order to identify trends in abuse ecosystems by defining and evaluating metrics of user behavior
Lead quantitative analysis projects from start to finish including all aspects of data analysis (e.g. processing, cleaning, verifying the integrity of data used for analysis, statistical analysis, visualizations) and communicating results
Partner with engineers and cross-functional teams to turn analyses into opportunities to detect and mitigate future safety risk
Support the creation of predictive models for automated detection systems (from feature selection to building and optimization of machine-learning models)
Measure the performance of safety campaigns and programs by building dashboards and reports
Explore additional data sources that can be used to help identify new opportunities to signal bad actor behavior
* BA/BS in Computer Science, Math, Physics, Engineering, Statistics or other technical field
2+ years of post-college work in a quantitative role
Experience in SQL or other programming languages. Some development experience in at least one scripting language (PHP, Python, Perl, etc.)
Understanding of statistical analysis
Experience with a statistical package such as R, Python, etc.
Experience working cross-functionally and is able to translate technical content to a general audience
* Experience in a similar role and at an Internet-based company
Passion for protecting the most vulnerable users on Facebook with deep interest in understanding user behavior and utilizing data to mitigate safety risk
Facebook is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at email@example.com.
Facebook is a company providing an online social networking service.