Jobs
Benefits & Perks
•Equity
•Healthcare
•Equity
•Healthcare
Required Skills
Analytics
SQL
Python
Problem solving
Technical communication
The Surface Integrity Operations team, part of Integrity Operations, is dedicated to reducing harm, negative experiences, and abuse across Meta products at scale. We are committed to making integrity a core element in the success of Meta's apps and products, ensuring that reliability, and safety are built into everything we deliver.In this role, you will conduct technical network investigations to identify, mitigate, and prevent fraud. You will investigate holistic networks of abuse to understand and deter adversaries, and then scale solutions that precisely mitigate harm and earn trust with our audiences. You will have the opportunity to influence operations, product, and policy decisions using data-driven insights, develop investment strategies to optimize outcomes, and scale solutions to protect Meta users from harm.
Technical Investigator, Integrity Operations Responsibilities:
- 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 strategic projects as well as solve ongoing integrity problems at scale
- Identify opportunities to build automation solutions to make Ops processes more efficient
- Operational Guideline Development: Expertise in defining, standardizing, and rolling out operational playbooks for complex use cases
- Data Calibration and Quality Assurance: Experience building calibration processes, validating data labeling accuracy, and ensuring ground-truth quality
- Knowledge Management: Effective techniques for facilitating knowledge transfer, governance, and information management
- Cross-functional Partnership: Proven collaboration experience with engineering, policy, quality evaluation, and platform operations teams
- Communication & Documentation: Experience in drafting guidelines, documenting processes, and conveying complex processes to a variety of audiences
Minimum Qualifications:
- 2+ 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 fast-paced, rapidly-changing environment, while managing multiple priorities and stakeholders
- Experience solving complex problems and autonomously operating in ambiguity
- 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
Preferred Qualifications:
- 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
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and Whats App further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$36.54/hour to $114,000/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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About Meta

Meta
PublicA social technology company that enables people to connect, find communities, and grow businesses.
10,001+
Employees
Menlo Park
Headquarters
$800B
Valuation
Reviews
3.4
26 reviews
Work Life Balance
2.3
Compensation
4.2
Culture
2.8
Career
3.1
Management
2.1
45%
Recommend to a Friend
Pros
Excellent compensation and benefits
Smart and talented colleagues
Fast-paced and challenging work environment
Cons
Frequent layoffs and job insecurity
Poor leadership and management accountability
High stress and competitive work environment
Salary Ranges
40,175 data points
Mid/L4
Mid/L4 · Data Scientist
3,113 reports
$284,667
total / year
Base
$179,458
Stock
$79,981
Bonus
$25,228
$193,897
$434,902
Interview Experience
6 interviews
Difficulty
4.2
/ 5
Duration
21-35 weeks
Offer Rate
17%
Experience
Positive 17%
Neutral 17%
Negative 66%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Coding Interviews
6
System Design Interview
7
Behavioral Interview
8
Final Loop/Hiring Manager Round
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Live Coding
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