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Sponsored by CareerFoundryAbout Haus
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. Our team is comprised of former product managers, economists and engineers from Google, Netflix, Amazon and Meta who saw how costly it is to support high-quality decision science tooling and incrementality testing. Our mission is to make this technology available to all businesses, where all the heavy lifting of experiment design, data cleaning, and analysis/insights are taken care of for you. Haus is working with well known brands like FanDuel, Sonos, and Hims & Hers, and has seen more than 30x ROI by running experiments and helping brands make more profitable decisions. We are backed by top VCs like Insight Partners, 01 Advisors, Baseline Ventures, and Haystack.
What you'll do
If building a new product at a growing company is your desire, look no further. This role is centered on building the Causal Marketing Mixed Model, cMMM or cM3. Similar to how a hedge fund identifies an optimal mix of investments, Haus is building a machine learning-driven engine for allocating advertising investments across marketing channels like Google Ads, Pinterest Ads, TV ads, billboards, etc. to maximize customer acquisition.
We are searching for both Senior and Staff level engineers to help us build a robust and scalable data onboarding, as well as automated data ingestion pipelines to power the cMMM. You will own onboarding and analysis pipelines that will ingest customer data and deliver model results at a large scale. You will be the foremost contributor providing data operations leadership to translate model outputs into value for our customers.
The ideal candidate is somebody who is both a great software engineer and an excellent communicator, who enjoys improving existing solutions as well as designing tailored solutions for customers.
