Technical Investigator, Integrity Operations
Austin, TX | Menlo Park, CA | Remote, US
- Apply quantitative skills and incorporate qualitative insights to inform and influence strategy for Integrity Operations
- Investigate complex cases to understand in granular detail how abuse is occurring and attribute the person(s) responsible. Identify and implement appropriate online and offline enforcement strategies to mitigate harm both in the current case and from similar forward-looking abuse.
- Conduct thorough investigations and Root Cause Analysis to identify community harm trends, build scalable solutions and have direct impact on user harm
- Partner with Product, Engineering, Data Science and Data Engineering Teams to lead or contribute to large scale cross-functional projects as well as solve ongoing integrity problems at scale.
- Take a leadership role in suggesting, prototyping, and teaching novel investigative techniques.
- Identify opportunities to build automation solutions to make Ops processes more efficient
- 5+ years of work experience in an analytics role involving strategy, problem solving, and/or technical systems
- Experience using analytics to break down ambiguous, complex problems using data, and drawing actionable insights
- Experience working in a rapidly-changing environment, leading projects to completion while managing multiple priorities, stakeholders and tight deadlines
- Experience solving complex problems and operating in ambiguity under your own initiative
- Proficiency with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
- Experience explaining technical concepts and analysis implications clearly to varied audiences, translating business objectives into actionable analyses, and presenting complex insights to leadership
- Bachelor's Degree
- Experience working in an online operations or trust & safety organization, preferably in the fraud domain
- Advanced degree with a quantitative focus (Computer Science, Statistics, Finance, Information Systems, Applied Economics or similar technical field) or equivalent practical experience
- Experience presenting complex data insights to leadership
$93,000/year to $136,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
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Job Profile
California residents only
Benefits/PerksAccommodations Benefits Bonus Equity Individual compensation Reasonable accommodations
Tasks- Analyze data trends
- Build
- Build automation
- Build scalable solutions
- Conduct technical investigations
- Data Analysis
- Develop
- Develop automation solutions
- Identify and mitigate abuse
- Identify opportunities
- Influence strategy
- Partner with cross-functional teams
- Root cause analysis
- Support operations
Analytics Automation Automation solutions Business Color Computer Science Data analysis Data engineering Data querying Data Science Economics Engineering Finance Identity Influence Information systems Leadership Operations Organization Physics Problem-solving Procedures Prototyping Python R Root Cause Analysis Scalable solutions Scripting Scripting Languages SQL Statistical software Statistics Strategy Systems Technical Technical systems Techniques Virtual reality
Experience5 years
EducationAdvanced degree Analytics Applied economics Bachelor Bachelor's Bachelor's degree Business Computer Science Data Analysis Data Science Economics Engineering Equivalent Equivalent practical experience Finance Information Systems Physics Statistics Technical field Technology
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9