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Job Summary


Job Type
Permanent

Seniority
Mid
Junior

Years of Experience
At least 2 years

Tech Stacks
Analytics
R
Sas
SPSS
Perl
SQL
PHP
Python

Job Description


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The Premier Partner Protection team develops solutions for partners by creating scaled systems to address issues impacting their experiences with the suite of Facebook products. Within Partner Operations, the Partner Protection team protects users and ensures safe connections between Media constituents and their followers. We do so by understanding the landscape and partnering with engineering and integrity teams, to identify and analyse problems and trends, and execute scalable solutions.

Responsibilities

  • Develop a deep understanding of issues facing our constituents and how it affects Facebook, Instagram and our communities
  • Implement effective anti-fraud automations to eliminate abusive behaviors, based on identified risks
  • Build solutions leveraging automation to improve the team's operational efficiency
  • Analyze and interpret data in order to devise hypotheses on how fraudulent and other nefarious activity is proliferating
  • Communicating to technical/non technical audiences
  • Requires contributing to Facebook’s anti-abuse codebase
  • Establish short and long-term goals that will advance the organization’s impact through data and analytics
  • Proactively investigate, troubleshoot, and resolve sensitive escalations
  • Work collaboratively with cross-functional stakeholders including but not limited to Policy, Comms, Escalations, Spam and other operations teams to solve problems at scale
  • Please note that some weekend and holiday work will be required on a shift basis
Minimum Qualification

  • Bachelor's degree in Business, Science, Engineering, Economics or equivalent practical experience
  • Experience manipulating large data sets in SQL or equivalent
  • Experience in at least one scripting language (PHP, Python, Perl), statistical software (R, SAS, SPSS), or data visualization tool (Tableau)
  • 2+ years of work experience in an abuse, investigations, consulting, or online operations environment
Preferred Qualification

  • Experience in an adversarial space such as fraud, risk, policy

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