Economist / Applied Scientist, Media Optimization - Remote

Overview

Haus is a first of its kind decision science platform for the new digital privacy paradigm where data sharing and PII is restricted. Haus uses frontier causal inference based econometric models to run experiments and help brands understand how the actions they take in marketing, pricing and promotions impact the bottom line.

In Short

• Work on research and development with the Future Products team.
• Build the next generation of causal marketing measurement tools.
• Collaborate with customers to drive meaningful change in their businesses.
• Contribute to the full product life cycle.
• Collaborate with engineers, product managers, and designers.
• Produce high-quality experiences for customers.
• Develop new methodologies for marketing measurement.
• Implement and deploy methodologies via scalable software solutions.
• Use strong judgment and clear communication.
• Deliver on an ambitious roadmap.

Requirements

• Hands-on economist/applied scientist experience.
• Experience in modern marketing measurement stack.
• Knowledge of incrementality testing, MMM, MTA.
• Ability to thrive on execution.
• Strong judgment skills.
• Clear and succinct communication skills.

Benefits

• Work with a team of experts from top tech companies.
• Opportunity to impact well-known brands.
• Be part of a mission-driven company.
• Access to cutting-edge decision science tools.
• Potential for high ROI through innovative solutions.