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Applied Science - Research, cMMM

Haus Technologies Inc.

Job Overview

Location

Remote

Job Type

Full-time

Full Job Description

📋 Description

• Haus Technologies Inc. is at the forefront of revolutionizing how leading brands optimize their advertising spend, leveraging cutting-edge causal inference and econometric models to provide scientific precision in measuring marketing impact. We are seeking a highly skilled and motivated Applied Scientist to join our dynamic research and development team, focusing on our Causal Marketing Mix Modeling (MMM) product. This is a unique opportunity to contribute to the full product lifecycle, from developing novel scientific methodologies to implementing and deploying them through scalable software solutions.
• As an Applied Scientist on our team, you will be instrumental in advancing the Haus Causal MMM product. You will collaborate closely with talented engineers, product managers, and designers, working hand-in-hand to craft exceptional user experiences for our clients. Your role will involve a blend of deep theoretical research and practical, hands-on implementation, ensuring that our scientific innovations translate into tangible business value for our customers.
• A core aspect of your responsibility will be to partner with our engineering teams to build and deploy sophisticated causal models into production environments at scale. This requires not only a strong theoretical understanding of causal inference and machine learning but also the practical ability to translate complex models into robust, efficient, and maintainable code. You will be involved in the entire process, from initial model design and validation to ongoing monitoring and optimization.
• You will be expected to stay abreast of the latest advancements in the field, leveraging existing scientific literature while also actively contributing to the development of new methodologies in causal marketing measurement. This includes exploring innovative approaches to address complex customer pain points and driving the product roadmap by advocating for rigorous scientific solutions that deliver measurable ROI.
• The ideal candidate is a hands-on economist or applied scientist with a proven track record in the modern marketing measurement stack. Experience with incrementality testing, MMM, and Marketing Attribution (MTA) is crucial. You should possess a genuine excitement for both theoretical exploration and the practical application of science to solve real-world business challenges. Your ability to thrive in ambiguity, use strong judgment, and communicate clearly and succinctly will be key to driving our ambitious roadmap forward.
• You will be empowered to aim high, seeking to expand the existing scientific literature by developing novel methods for answering core customer questions. This means pushing the boundaries of what's currently possible in marketing measurement and contributing original research that elevates our product and our clients' understanding of their marketing effectiveness.
• Experimentation is at the heart of our approach. You will be encouraged to experiment boldly, trying new approaches and iterating quickly on new scientific hypotheses. This iterative process, where 'done is better than perfect,' allows us to take small, exploratory steps toward robust solutions rather than getting bogged down in large, precise leaps that may not yield immediate results.
• We foster a culture of ownership. You will act like an owner, sharing responsibility with the team and doing whatever it takes to achieve collective success. This involves thriving in ambiguity, finding ways to structure unstructured problems, and taking initiative to drive projects to completion. Your contributions will directly impact the success of our clients and the growth of Haus Technologies.
• This role offers a unique opportunity to work on challenging problems at the intersection of econometrics, machine learning, and marketing science. You will have the chance to shape the future of marketing measurement and contribute to a product that is already delivering significant ROI gains for some of the world's leading brands. If you are passionate about applying scientific rigor to solve complex business problems and are eager to make a substantial impact in a fast-paced, high-growth startup environment, this is the role for you.

🎯 Requirements

• MSc or PhD in Economics or a related quantitative field (e.g., Statistics, Computer Science, Mathematics), or equivalent industry/academic experience.
• 2+ years of professional experience working as an Economist, Data Scientist, or Applied Scientist, with a demonstrated ability to build and deploy science models in production environments.
• Expert proficiency in Python for data analysis, modeling, and scientific computing, and expert proficiency in SQL for data extraction and manipulation.
• Proven experience with the modern marketing measurement stack, including incrementality testing, Marketing Mix Modeling (MMM), and Marketing Attribution (MTA).
• Strong theoretical and practical experience in causal inference and machine learning techniques.
• Demonstrated experience coding and troubleshooting models specifically built for production deployment, ensuring scalability, reliability, and performance.

🏖️ Benefits

• Flexible Paid Time Off (PTO) – Take the time you need to recharge and maintain work-life balance.
• Equity – Receive stock options, offering you a stake in the company's success and growth.
• Comprehensive Health Insurance – Top-tier medical, dental, and vision insurance plans with multiple options to suit your needs.
• Work-From-Home Stipend – Financial support to create an optimal and productive home office setup.
• Team Events & Offsites – Opportunities to connect with colleagues, build relationships, and celebrate achievements in person.
• New Parent Leave – Generous leave policy to support new parents during this significant life event.

Skills & Technologies

Python

Remote

Degree Required

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Haus Technologies Inc.

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About Haus Technologies Inc.

Haus Technologies Inc. operates an online marketplace for buying and selling residential real estate. The platform enables homeowners to list properties, schedule tours, and receive offers without traditional agent commissions. Buyers browse listings, book self-guided showings through the app, and submit bids directly. Haus provides valuation tools, digital offer management, and transaction coordination, aiming to reduce fees and streamline the home-sale process. Founded in 2016, the company has facilitated transactions in multiple U.S. metropolitan areas while generating revenue through listing subscriptions and optional service upgrades.

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