About 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
You will collaborate closely with our customers to understand their problems and develop novel solutions. You will work alongside other scientists, analytical leads, and engineers to develop these solutions into products on our platform that will benefit our growing customer base.
The ideal candidate is somebody who is (1) an effective economist/applied scientist eager to shape vague questions into a well-defined research agenda, and (2) a skilled communicator with deep customer empathy and strategic vision. If you’re eager to provide real value to customers by developing innovative solutions for them and own a wide breadth of responsibility, we’d love to hear from you.
Responsibilities
Qualifications
About you
What we offer
$180,000 - $205,000 a year
The salary range for this position is expected to be $180,000 - $205,000. Salary ranges are determined by role and level, and within the range individual pay is determined by additional factors including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in this job posting reflect the base salary only, and do not include equity or benefits.
Haus is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
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