Senior Applied Scientist - Research, cMMM
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Job Description
Senior Applied Scientist developing the Haus Causal MMM product with a focus on innovative methodologies. Collaborating across teams to produce high-quality experiences based on causal inference and marketing measurement.
Responsibilities:
- 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
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