Perform complex data analyses to derive insights that help identify and fight abuse across our products.
Own technical implementation of production-level pipelines, documentation, check-in process, etc.
Use technical judgement to drive project delivery, challenge proposals and identify risks. Manage multiple interdependent projects of moderate to high complexity and scope against crashed timelines.
Collaborate with other teams and functions: product, legal, sales, cross-fucntional teams, Policy, among many others.
Improve tools through data analysis, technical expertise, and presentations to key stakeholders. Enhance our operational workflows via process improvements and identification of automation opportunities.
Minimum qualifications:
Bachelor's degree or equivalent practical experience.
4 years of experience in data analytics, Trust and Safety, policy, cybersecurity, or related fields.
Experience working with SQL, coLaboratory, Python.
Experience in data analysis and working with datasets or LLMs.
Preferred qualifications:
Master's degree in relevant field.
Experience in SQL, building dashboards, data collection/transformation, visualization/dashboards, or in a scripting/programming language (e.g., Python).
Experience with machine learning.
Experience using statistical analysis and hypothesis testing.
Excellent communication and presentation skills and the ability to influence cross-functionally at various levels.
Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.
