Senior Data Scientist, Growth Marketing (Remote)

Pinterest Engineering; San Francisco (CA); Hybride; USD 140 000 - 288 000; Plein temps

Résumé du poste

Pinterest is seeking a Senior Data Scientist to join our Growth Marketing team. You will inject scientific rigor into marketing measurement and optimization to drive user growth, inform investment opportunities, and define metrics that shape our strategy and growth.

Collaborate with cross‑functional partners across Marketing, Product, Engineering, Design, Analytics, Data Engineering and more; build models such as propensity, forecasting, and LTV; improve attribution and experimentation

Qualifications

• 5+ years of combined post-graduate academic and industry experience applying scientific methods to real-world problems.
• Master's degree in mathematics, statistics, computer science or engineering.
• Hands-on experience building marketing measurement solutions to quantify business impact of marketing tactics and investments.
• Strong background in statistics with experience applying advanced techniques to real-world problems.

Responsabilités

• Perform deep strategic analysis to answer growth marketing questions and drive MAU from paid performance.
• Evolve geo-testing and incrementality testing frameworks to improve measurement.
• Build and deploy statistical and ML models (propensity, forecasting, LTV) to optimize marketing and targeting.
• Develop new models and improve existing ones (LTV, budgeting, retention).
• Collaborate with cross-functional partners across Product, Engineering, Analytics, Marketing and Data Engineering.

Connaissances

Statistics & quantitative analysis

Python

R

SQL

Experimentation

Leadership

Causal inference

Marketing analytics

Communication

Formation

Master's degree (quantitative field)

Outils

Hive

SQL

Description du poste

Pinterest is seeking a Senior Data Scientist to join our Growth Marketing team. You will inject scientific rigor into marketing measurement and optimization to drive user growth, inform investment opportunities, and define metrics that shape our strategy and growth.

Collaborate with cross‑functional partners across Marketing, Product, Engineering, Design, Analytics, Data Engineering and more; build models such as propensity, forecasting, and LTV; improve attribution and experimentation