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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in statistical analysis, marketing measurement solutions, and data modeling, with a strong ability to translate complex data into actionable insights for diverse stakeholders. Proficient in building ETL data pipelines and optimizing experimentation frameworks to drive growth marketing strategies.
Highest-signal resume keywords
Statistical AnalysisMarketing Measurement SolutionsPython/R ScriptingSQL/Hive ProficiencyExperimentation Frameworks
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Quantitative AnalysisAdvanced Statistical TechniquesData ModelingCausal InferenceETL Data PipelinesForecasting ModelsPropensity ModelsBudgeting ModelsLifetime Value ModelsAutomated Reporting
Soft Skills
Excellent CommunicationBusiness AcumenProblem-SolvingCollaborationLeadership
Tools & Technologies
DashboardsAutomated Reporting ToolsExperimentation Tools
Certifications & Qualifications
Master's Degree in Quantitative Field
Industry Keywords
Growth MarketingPerformance MarketingUser EngagementIncrementality TestingGeo-Testing
Tech Stack
Tools & technologiesETLPythonSQL
About the role
Key responsibilities & impact- Join Pinterest’s marketing organization as a Senior Data Scientist supporting Growth Marketing and performance marketing efforts
- Conduct strategic analyses on paid performance marketing, user growth, engagement, and lifetime value
- Quantify the impact of paid performance marketing in new markets
- Evolve geo-testing and incrementality testing frameworks
- Build and deploy propensity, forecasting, lifetime value, budgeting, and long-term retention models
- Collaborate with Product, Engineering, Analytics, Marketing, Data Engineering, Design, Research, and other cross-functional partners
- Develop and improve experimentation capabilities and tools
- Advise on experimentation best practices and identify flaws in experiments and results
- Define success metrics and own their lifecycle, including logging requirements, metric definitions, prototype pipelines, and improvements
- Translate complex analytical findings into actionable insights and strategic recommendations for technical and non-technical stakeholders, including senior leadership
- Write analyses identifying opportunities and areas for improvement
- Design, maintain, and promote dashboards and automated reporting tools
- Build and optimize ETL data pipelines for automated reporting, deep-dive analysis, and feature engineering
Requirements
What you’ll need- Minimum 5 years of combined post-graduate academic and industry experience applying scientific methods to real-world problems
- Master's degree in a quantitative field such as mathematics, statistics, computer science or engineering
- Hands-on experience building marketing measurement solutions
- Strong background in statistics and quantitative analysis
- Advanced statistical techniques experience
- Expertise in at least one scripting language, ideally Python/R
- Proficiency in SQL/Hive and ability to write efficient SQL queries
- Strong business and product sense
- Ability to shape vague questions into well-defined analyses and success metrics
- Excellent communication skills
- Experience leading key technical projects
- Strong experimentation background
- Experience with causal inference projects
- US-based applicants only
Benefits
Comp & perks- Equity eligibility
- Flexible working model (PinFlex)
- In-person collaboration only 1–2 times per quarter
- Equal opportunity and accommodation support