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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Machine Learning, Statistical Modeling, and Data Analysis to drive product development and enhance Trust and Safety initiatives. Proficient in SQL and Python or R for manipulating complex data sets and communicating insights effectively across cross-functional teams.
Highest-signal resume keywords
Machine LearningStatistical ModelingData AnalysisSQLPython
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningStatistical ModelingForecastingEconometricsData AnalysisData ManipulationStatistical MethodsExperimentation Best PracticesAnalysis PipelinesData Structures
Soft Skills
Excellent CommunicationInfluencing SkillsCollaboration
Industry Keywords
Trust and SafetyData-Driven EnvironmentProduct DevelopmentCross-Functional CollaborationProactive Metrics-Driven Approach
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Develop a deep understanding of Pinterest’s Trust and Safety platform and quantify funnel opportunities and risks
- Lead projects addressing Trust and Safety opportunities across funnel stages
- Design and productionize scalable machine-learning and evaluation frameworks for statistical measurement, product recommendation, and forecasting
- Develop instrumentation and experimentation best practices for product engineering teams
- Apply scientific rigor and statistical methods to product creation, development, and improvement
- Build and iteratively prototype analysis pipelines that provide insights at scale
- Develop comprehensive knowledge of data structures and metrics and advocate for product-development changes
- Collaborate with product managers, engineers, designers, researchers, and other cross-functional partners
- Communicate key insights and influence product development for Pinterest’s global community of pinners, creators, advertisers, and merchants
- Help evolve Trust and Safety from reactive moderation and lagging harm reporting to a proactive, metrics-driven operating system
Requirements
What you’ll need- Minimum 10 years of experience analyzing data in a fast-paced, data-driven environment
- Proven ability to apply scientific methods to real-world problems using web-scale data
- Extensive experience with Machine Learning, Statistical Modeling, Forecasting, Econometrics, or related fields
- Scientifically rigorous approach to analysis and data
- Ability to manipulate large, high-dimensional, complex data sets
- Fluency in SQL or other database languages
- Fluency in Python or R
- Excellent communication and influencing skills
- Ability to explain learnings to technical and non-technical partners
- Ability to collaborate with cross-functional leadership
- Bachelor’s degree in Computer Science, a related field, or equivalent experience
- US-based applicants only
Benefits
Comp & perks- Equity eligibility
- Flexible working model through PinFlex
- In-person collaboration only 1–2 times per quarter
- Equal opportunity and accommodation support during the application process