Principal Data Scientist – Cross-Channel Advertising

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

Benefits offered by this job

Healthcare coverage

Annual incentive program

Retirement benefits

Other benefits

Job summary

Flagship Pioneering is seeking a Principal Data Scientist in Cambridge, MA to lead the full lifecycle of predictive modeling and data systems that optimize advertising across channels. You will define problems, assemble data, validate models, and translate outputs into customer-ready recommendations for strategy and spend.

You will collaborate with cross-functional teams across product, engineering, and marketing, shaping forecasting, experimentation, and production deployment while balancing

Qualifications

• 8+ years of data science, machine learning, statistics, or related quantitative experience.
• Strong expertise in Python, SQL, and modern data science and machine learning frameworks.
• Advanced degree in Statistics, Mathematics, Economics, or another quantitative field, or equivalent practical experience.
• Demonstrated track record of taking models from research through production deployment, customer validation, and measurable business impact.

Responsibilities

• Define Learning Targets & Model Advertising Performance and develop predictive models across channels.
• Build cross-channel measurement and optimization systems across paid social, search, display, video.
• Design experiments, incrementality tests, and causal inference to verify impact.
• Translate model outputs into clear, customer-facing recommendations for strategy and budget allocation.
• Advance modeling and validation practices including calibration, drift, and holdout design.
• Own the model lifecycle cross-functionally with data, product, engineering, and customer discovery.

Skills

Data science

Statistics

Python

SQL

Model deployment

Communication

Education

Advanced degree in statistics/math/economics

Tools

ML frameworks

Job description

Flagship Pioneering is seeking a Principal Data Scientist in Cambridge, MA to lead the full lifecycle of predictive modeling and data systems that optimize advertising across channels. You will define problems, assemble data, validate models, and translate outputs into customer-ready recommendations for strategy and spend.

You will collaborate with cross-functional teams across product, engineering, and marketing, shaping forecasting, experimentation, and production deployment while balancing