Data Scientist Lead (Contract to FTE)

About this role

About Hypha Metrics
Hypha Metrics is redefining how media data is measured, connected, and understood. Our platform provides the foundational infrastructure that powers audience insights for the modern media ecosystem. We help clients make smarter decisions by transforming fragmented data into unified, actionable intelligence.


Role Summary
Design and deliver rigorous, scalable measurement solutions that uncover true media impact and drive media investment decisions. This role combines causal inference, experimentation, statistical modeling, and production data engineering to measure incrementality, optimize media mix and inform campaign strategy across digital and offline channels.


Key Responsibilities

• Design and analyze randomized and quasi-experimental tests (holdouts, geo-tests, RCTs) to measure advertising incrementality and lift.
• Build and maintain causal models (difference-in-differences, synthetic controls, hierarchical Bayesian, uplift modeling) and marketing mix models (MMM) for multi-channel attribution.
• Develop and productionize scalable end-to-end pipelines for event-level ad exposure, conversions, and offline-sales ingestion (ETL/ELT, validation, monitoring).
• Work with data engineering to keep measurement datasets clean, deduplicated (identity resolution), and privacy-compliant.
• Own feature engineering, model training, validation, and deployment in Python/R and cloud environments (BigQuery, Snowflake, Dataproc/AWS/GCP).
• Produce clear, actionable dashboards and executive-ready insights for product, media, and client teams; present findings to stakeholders.
• Implement automated reporting and CI/CD for model retraining and performance monitoring; establish measurement governance and documentation.
• Stay current on the ad-tech/measurement ecosystem (ATtribution frameworks, walled gardens, ID solutions) and recommend measurement strategy changes.

Required Qualifications

• 3+ years experience building statistical o...