cMMM Applied Science Manager

Haus(2 months ago)

HybridFull TimeManager$220,000 - $250,000Science

About this role

The cMMM Applied Science Manager at Haus is responsible for leading a team of scientists to develop and produce econometric models that optimize ad spend for brands. This role focuses on enhancing operational efficiency, executing a strategic roadmap, and collaborating with cross-functional teams while maintaining scientific rigor. The ideal candidate will have experience in causal modeling and a strong background in quantitative fields, as well as a proven track record of managing science teams in a production environment.

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Required Skills

Team Leadership
Model Development
Efficiency Metrics
Roadmap Execution
Cross-Functional Collaboration
Quantitative Analysis
Causal Models
Machine Learning
Incrementality Testing
Data Science

+4 more

Qualifications

MSc in a quantitative field (Statistics, Economics, Data Science, etc.) or equivalent industry/academic experience
4+ years working in an Economist / Data Scientist / Applied Scientist role generating insights for stakeholders/customers using causal models and/or building science models for production environments
2+ years managing scientists
Experience in the modern marketing measurement stack (incrementality testing, MMM, MTA)
Experience in causal inference and machine learning

About Haus

www.haus.io

Haus is an AI-powered platform focused on improving marketing effectiveness through its incrementality measurement tools. By providing specialized solutions such as GeoLift and Causal MMM, it helps brands optimize their advertising spend and make data-driven decisions. Haus empowers companies with insights to accurately assess the impact of their marketing efforts, ensuring better ROI on their investments. With a rich background in marketing science, Haus collaborates with top brands to drive smarter business strategies.