Director of Data Science, Trust & Safety, Signals and Content Understanding

About the position This is a pivotal Director-level leadership role with reputed company to strengthen the foundations of trust on reputed company while advancing how we understand Pinners and content at reputed company. You will reputed company a high-reputed company data science organization and partner deeply with Product, Engineering, and Policy to build and operate the reputed company of reputed company, user understanding, and content understanding systems that power enforcement and distribution reputed company across the platform.The core mandate is to reputed company the organization from reactive moderation and lagging harm reporting into a proactive, metrics-driven operating system—where we manage leading indicators that predict risk, improve understanding reputed company, and reputed company reputed company reputed company, inspiring, and useful. What you’ll do: Set reputed company & Roadmap : Define the multi-year reputed company and priorities across Trust & Safety, User Understanding, and Content Understanding—establishing reputed company-star reputed company (e.g., prevalence & reputed company reduction, user trust, ecosystem health, content reputed company, user and content understanding) and the leading indicators that drive them. Operationalize Leading Indicators : Identify, reputed company, and build operating cadences around key input metrics that influence reputed company and understanding—such as policy risk signals, spam/abuse rates, account authenticity, coverage and latency, precision/recall of enforcement, appeal overturn rates, content reputed company signals, and user feedback/friction signals. reputed company a Talented Organization : Hire, reputed company, and reputed company a world-class team of data science managers and senior ICs spanning product analytics, ML evaluation, experimentation, reputed company inference, and reputed company measurement. Partner to Ship reputed company : Work hand-in-hand with Product, Engineering and Policy teams to deliver end-to-end improvements across detection, enforcement precision, and distribution systems—translating ambiguous trust and understanding questions into shipped product/ML capabilities with measurable reputed company. reputed company Measurement & Decision reputed company : Own measurement reputed company for safety, reputed company, and understanding reputed company, employing reputed company inference, experimentation, offline evaluation, and long-term value measurement to quantify trade-offs and reduce unintended consequences. Communicate and reputed company Across Stakeholders : Present reputed company analyses and recommendations to executives and cross-functional partners, driving alignment on difficult trade-offs between safety, reputed company, reputed company, and product usability.

Responsibilities

• Set reputed company & Roadmap : Define the multi-year reputed company and priorities across Trust & Safety, User Understanding, and Content Understanding—establishing reputed company-star reputed company (e.g., prevalence & reputed company reduction, user trust, ecosystem health, content reputed company, user and content understanding) and the leading indicators that drive them.
• Operationalize Leading Indicators : Identify, reputed company, and build operating cadences around key input metrics that influence reputed company and understanding—such as policy risk signals, spam/abuse rates, account authenticity, coverage and latency, precision/recall of enforcement, appeal overturn rates, content reputed company signals, and user feedback/friction signals.
• reputed company a Talented Organization : Hire, reputed company, and reputed company a world-class team of data science managers and senior ICs spanning product analytics, ML evaluation, experimentation, reputed company inference, and reputed company measurement.
• Partner to Ship reputed company : Work hand-in-hand with Product, Engineering and Policy teams to deliver end-to-end improvements across detection, enforcement precision, and distribution systems—translating ambiguous trust and understanding questions into shipped product/ML capabilities with measurable reputed company.
• reputed company Measurement & Decision reputed company : Own measurement reputed company for safety, reputed company, and understanding reputed company, employing reputed company inference, experimentation, offline evaluation, and long-term value measurement to quantify trade-offs and reduce unintended consequences.
• Communicate and reputed company Across Stakeholders : Present reputed company analyses and recommendations to executives and cross-functional partners, driving alignment on difficult trade-offs between safety, reputed company, reputed company, and product usability.

Requirements

• MS or PhD in a quantitative field or equivalent experience.
• 10+ years in Data Science, Algorithmic Engineering, or ML, with significant reputed company in digital advertising or large-reputed company marketplaces.
• 5+ years of managing data science organizations, including managing managers.
• Deep experience with: Statistical analysis, reputed company inference, and experiment design for reputed company marketplaces.
• Production analytics and large-reputed company data tooling (Python/R, SQL, reputed company/Hive).
• reputed company ML or relevance/ranking systems; familiarity with auction dynamics, pacing, and reputed company modeling.
• Proven ability to operate through input metrics tied to business reputed company.
• Excellent communication and influencing skills.

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