Partner with engineering teams to build and deploy causal models into production at scale
Leverage existing literature and develop new science in the causal marketing measurement space
Help drive product roadmap by clearly advocating for rigorous scientific solutions to customer pain points

Requirements

MSc/PhD in Economics or equivalent industry/academic experience
4+ years working in an Economist / Data Scientist / Applied Scientist role building science models for production environments
Expert in Python and SQL
Experience in the modern marketing measurement stack (incrementality testing, MMM, MTA)
Experience in causal inference and machine learning
Experience coding and troubleshooting models built for deployment

Benefits

Flexible PTO - take time when you need it!
Equity – Startup environment with part-ownership in our successes
Top of the line health, dental, and vision insurance - multiple plan options so you can pick what fits you best
WFH stipend to support the set up you need to be productive
Events & Offsites – opportunities to connect and celebrate in real life!
Free Lunch – Grab a bite on us when you choose to work from the office (hub locations include SF, NYC and Seattle)
New Parent Leave – take time to welcome your newest Hausmate

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLcausal inferencemachine learningincrementality testingMMMMTAcodingtroubleshootingscience models

Soft Skills

advocatingcommunication

Certifications

MScPhD