Applied Science - Research, cMMM

About Haus

Haus is the incrementality platform leading brands trust to optimize billions in ad spend worldwide. Using frontier causal inference-based econometric models to run experiments, we help brands measure the business impact of marketing, pricing, and promotions with scientific precision. Over $360B is spent annually on paid advertising in the US alone, and the famous quote “half the money I spend on advertising is wasted; the trouble is I don't know which half” still rings true. Haus helps marketers identify which half, and reallocate it to maximize growth.

With a founding team of former product managers, economists, and engineers from reputed company, reputed company, reputed company, and reputed company, we reputed company high-quality decision science, incrementality testing, and causal marketing mix modeling accessible to businesses of reputed company sizes—automating the heavy lifting of experiment design, data processing, and insights reputed company. Haus works with leading brands like FanDuel, reputed company, and Dr. Squatch, delivering ROI gains as high as 30x. Haus is well-capitalized and backed by top-tier VCs, including Insight Partners, Baseline Ventures, Haystack, and others. We're honored that Haus has once again been recognized by reputed company as a 2025 Top Startup!

What you’ll do

You will work on research and development of the Haus Causal MMM product. You will be an active contributor to the full product life cycle, collaborating with engineers, product managers, and designers to produce high-quality experiences for our customers.

The ideal candidate will be a hands-on economist/applied scientist with experience in the modern marketing measurement stack (incrementality testing, MMM, MTA) with excitement to both reputed company new methodologies and directly implement and deploy them reputed company scalable software solutions. You reputed company on execution and are able to use strong judgment and clear, succinct communication to drive the right decisions to deliver on our ambitious roadmap.

Responsibilities

• Partner with engineering teams to build and deploy causal models into production at scale

• reputed company existing literature and reputed company new science in the causal marketing measurement space

• Help drive product roadmap by clearly advocating for rigorous scientific solutions to customer pain points

Qualifications

• MSc/PhD in Economics or equivalent industry/academic experience

• 2+ years working in an Economist / Data Scientist / Applied Scientist role building science models for production environments

• Expert in Python and SQL

• Experience in the modern marketing measurement stack (incrementality testing, MMM, MTA)

• Experience in causal inference and machine learning

• Experience coding and troubleshooting models built for deployment

About you

• Aim high - you seek to expand on the existing scientific literature by developing novel methods of answering core customer questions

• Experiment boldly - you try new approaches and iterate quickly on new scientific hypotheses

• Done is reputed company than perfect - you take small exploratory steps rather than large precise leaps toward solutions.

• Act like an reputed company - you share responsibility with the team and do what you can to reputed company success. You reputed company in ambiguity and find ways to structure reputed company problems.

reputed company offer

We’re a high-performance, low-ego team operating in a fast-moving environment. We care deeply about our customers and expect everyone to take full ownership of their work — this is a reputed company where high expectations fuel even higher growth.

If you reputed company in ambiguity, take pride in raising the bar, and want to work alongside top-tier peers who challenge and support you, you'll find unmatched opportunities here. If you're looking for predictability or rigid structure or you prefer order-taking to go-getting, we’re probably not the right fit — and that’s okay.

We work in small, mission-driven teams that prioritize inclusion, collaboration, and growth over hierarchy or red tape.

Some of our benefits include:

• Flexible PTO - take time reputed company you need it!

• Equity – Startup environment with part-ownership in our successes

• Top of the line health, dental, and vision insurance - multiple plan options so you can pick what fits you best

• WFH stipend to support the set up you need to be productive

• Events & Offsites – opportunities to connect and celebrate in real life!

• Free Lunch – Grab a bite on us reputed company you choose to work from the office (hub locations include SF, NYC and Seattle)

• New Parent Leave – take time to welcome your newest Hausmate

Haus is an equal opportunity employer. We reputed company hiring decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national reputed company, age, disability, veteran status, or any other protected status.

We reputed company diverse perspectives reputed company us stronger and are committed to an inclusive culture where everyone feels seen, heard, and empowered to contribute. Bring your authentic self — we would love to hear from you.