Applied Science - Research, cMMM at Haus Analytics

Haus is looking for a PhD-level economist or applied scientist with at least two years of experience building production-grade causal models. You should have a deep background in marketing measurement strategies like MMM and incrementality testing, along with the technical skills to implement your research directly in Python and SQL. **What makes it worth a look...** This role offers a high remote salary reaching $195k and equity in a LinkedIn Top Startup backed by major VCs. It is a rare chance to move beyond theoretical research and actually deploy scientific solutions into a product while receiving a WFH stipend and flexible PTO. **You might be a good fit if you...** * Have an MSc or PhD in Economics or a similar quantitative field. * Can write production-ready Python code to troubleshoot and deploy models. * Understand the math behind causal inference and machine learning. * Prefer a fast-paced environment where results and small iterations matter more than perfection.