Senior Marketing Data Scientist: Growth & ROI Analytics

Pinterest; San Francisco (CA); Hybrid; USD 140,000 - 288,000; Full time

Benefits offered by this job

Equity

Base salary with market range

Job summary

Pinterest is seeking a data scientist for the Marketing organization to infuse rigor into measurement and optimization, shaping revenue growth and strategy. You will partner with Marketing, Product, Engineering and Analytics to identify investment opportunities, measure revenue growth, and define metrics for advertiser growth and retention.

The role sits in Marketing, contributes to cross-functional initiatives, and builds dashboards and ETL pipelines to empower data-driven decisions.

Qualifications

• Master's degree in a quantitative field (math, stats, CS or engineering).
• 6+ years applying scientific methods to real-world problems.
• Strong communication and leadership to present findings to leadership and cross-functional teams.
• Experience building marketing measurement solutions and quantifying business impact.
• Expertise in statistics and quantitative analysis with advanced techniques.
• Proficiency in SQL; scripting in Python or R; ability to write efficient queries.

Responsibilities

• Analyze advertiser behavior across the marketing funnel to identify drivers of acquisition, conversion and churn.
• Design and improve marketing measurement frameworks and models to quantify ROI across channels.
• Build and deploy models (propensity, forecasting, LTV) to optimize strategies and targeting.
• Develop attribution methods to evaluate multi-channel initiatives.
• Use causal inference and experiments to assess incremental impact and guide budgeting.

Skills

Statistical analysis

Communication

Experimentation

SQL

Python/R

Leadership

Education

Master's degree in a quantitative field

Tools

SQL/Hive

Python

R

Job description

Pinterest is seeking a data scientist for the Marketing organization to infuse rigor into measurement and optimization, shaping revenue growth and strategy. You will partner with Marketing, Product, Engineering and Analytics to identify investment opportunities, measure revenue growth, and define metrics for advertiser growth and retention.

The role sits in Marketing, contributes to cross-functional initiatives, and builds dashboards and ETL pipelines to empower data-driven decisions.