Job Description

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 youre eager to provide real value to customers by developing innovative solutions for them and own a wide breadth of responsibility, wed love to hear from you. Responsibilities Partner closely with customers and Haus science and product leads to identify and solve key problems and pain points. Develop and implement innovative solutions that empower our customers to answer important business questions and drive decision-making. Enable these solutions to become core products in Haus product suite. Own building solutions, models, and products while working cross-functionally with scientists and engineers to ingest customer data and deploy models and tools that deliver meaningful results on a regular cadence. Leverage best practices like tests, validations, monitoring, and alerting to ensure high quality experiences for a growing number of customers. Qualifications ~ MSc/PhD in Economics, Statistics, Quantitative Marketing, or equivalent industry/academic experience. ~5+ years working in an Economist/Data Scientist/Applied Scientist role building science models and products for production environments. ~ Expertise in causal inference, statistics, and machine learning. ~ Proven ability to tackle ambiguous problems and collaborate with customers and/or cross-functional stakeholders. ~ Strong communication skills with the ability to synthesize complex technical concepts concisely and precisely. ~ Experience coding and troubleshooting models built for deployment. ~ Experience working with Python and SQL. About you Done is better than perfect - you take small exploratory steps rather than large precise leaps toward solutions. Youre a critical thinker who enjoys pragmatically balancing technical depth vs. progressing quickly. Act like an owner - you take shared responsibility for team success. You bring attention-to-detail and rigor to model development and data deep dives. Be curious - youre eager to test new ideas and solve novel problems. What we offer ~ Competitive salary and startup equity. ~ Top of the line health, dental, and vision insurance. ~401k plan. ~ Tools and resources you need to be productive (new laptop, equipment, you name it). $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. #J-18808-Ljbffr

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