VC firms

Principal Data Scientist

Flagship Pioneering · Cambridge, MA USA · On-site

← All jobs
About Flagship Pioneering

Pioneering Partnerships Latest News.

About the role

As a Principal Data Scientist , you’ll be a technical leader responsible for the full lifecycle of the models and data science systems that predict and optimize advertising performance across channels. You’ll define the learning problems, training data, targets, and business outcomes to influence; train and rigorously validate the right models offline; and take the technology to market through customer-facing validation. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • 8+ years of data science, machine learning, statistics, or related quantitative experience
  • Advanced degree in Statistics, Mathematics, Economics, or another quantitative field, or equivalent practical experience
  • Strong expertise in Python, SQL, and modern data science and machine learning frameworks
  • Strong foundation in statistics, machine learning, experimental design, forecasting, and model evaluation
  • Demonstrated track record of taking models from research and experimentation through production deployment, customer validation, and measurable business impact
  • Experience modeling advertising, marketing, consumer, or marketplace performance, including metrics such as conversion, engagement, acquisition, ROAS, CAC, or lifetime value
More about this role

Extuitive is a Flagship Pioneering–backed startup reimagining product innovation for the AI era. Our mission is to revolutionize go to market for planning and execution for the agentic age. Based in Cambridge, MA, we operate like a special ops unit—fast-moving, data-driven, and relentlessly focused on impact.

As a Principal Data Scientist , you’ll be a technical leader responsible for the full lifecycle of the models and data science systems that predict and optimize advertising performance across channels. You’ll define the learning problems, training data, targets, and business outcomes to influence; train and rigorously validate the right models offline; and take the technology to market through customer-facing validation. You’ll work across paid social, search, display, video, and emerging channels, translating complex, noisy advertising data into robust models, explainable decisions, and measurable customer value as our platform and data scale.

  • Define Learning Targets & Model Advertising Performance – Identify the customer decision and business intervention to influence; construct training labels and measurement windows; assess data quality, bias, and leakage; and develop...

Read the full posting on Flagship Pioneering's site ↗

Artificial Intelligence

Build your edge while you search

Free tools for founders and investors, plus VC Unfiltered, our take on startups, venture and the people who build them.