Haus Analytics is building the platform that measures causal impact of marketing spend for top brands. You’ll work on backend and platform engineering, primarily in Python across multiple repos, including a statistical estimation library, a science orchestration layer, and a Metaflow-based execution system on Kubernetes.
You’ll collaborate with applied scientists to translate research into production code, improve reliability, and ensure results flow into a customer-facing API.
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