Principal Data Scientist, Cross-Channel Advertising AI

Flagship Pioneering; Cambridge (MA); On-site; USD 179,000 - 237,000; Full time

Job summary

Extuitive, backed by Flagship Pioneering, seeks a Principal Data Scientist in Cambridge, MA to lead end-to-end data science for advertising performance across channels. You will define learning problems, label targets, and validate models offline before taking technology to market with customer-facing validation.

You will build cross-channel measurement systems, design experiments for causal inference, and translate model outputs into actionable marketing decisions that drive real business

Qualifications

• 8+ years of data science, machine learning, statistics, or related quantitative experience.
• Advanced degree in statistics, mathematics, economics, or another quantitative field.
• Strong expertise in Python, SQL, and modern data science and machine learning frameworks.
• Experience modeling advertising, marketing, consumer, or marketplace performance across ROAS/CAC/LTV.

Responsibilities

• Define Learning Targets & Model Advertising Performance – identify targets, training labels and measurement windows.
• Build Cross-Channel Measurement & Optimization Systems across paid channels and placements.
• Develop Experimentation & Causal Measurement Approaches to verify impact beyond model metrics.
• Translate Models into Marketable Decisions – campaign strategy, budget allocation, targeting, creative selection.
• Own the Model Lifecycle cross-functionally – from learning to deployment with validation across teams.

Skills

Python

SQL

Statistics

Machine learning frameworks

Forecasting

Experimental design

Model evaluation

Causal inference

Advertising data across channels

Communication skills

Education

Advanced degree in Statistics/Math/Economics

Job description

Extuitive, backed by Flagship Pioneering, seeks a Principal Data Scientist in Cambridge, MA to lead end-to-end data science for advertising performance across channels. You will define learning problems, label targets, and validate models offline before taking technology to market with customer-facing validation.

You will build cross-channel measurement systems, design experiments for causal inference, and translate model outputs into actionable marketing decisions that drive real business