Senior Applied Scientist / Economist, Experimentation

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 Google, Netflix, Meta, and Amazon, we make high-quality decision science, incrementality testing, and causal marketing mix modeling accessible to businesses of all sizes—automating the heavy lifting of experiment design, data processing, and insights generation. Haus works with leading brands like FanDuel, Sonos, 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 LinkedIn as a 2025 Top Startup!

What You'll Do

As a Senior Economist / Applied Scientist (Research), you will help define and advance the scientific direction of our core product, shaping both near-term feature development and the long-term research roadmap. You’ll operate at the intersection of economics, statistics, and product development, ensuring that our core models and methodologies remain rigorous, extensible, and aligned with real customer needs.

In this role, you will collaborate deeply with a cross-functional team of applied scientists, engineers, product managers, and designers to turn research ideas into product capabilities. You’ll be trusted to exercise strong scientific judgment, influence technical direction, and help scale both our methods and our team as the product evolves.

Please apply if you are excited to work on foundational measurement problems, enjoy leading through influence, and want to play a central role in shaping a core product.

Responsibilities

• Shape the research and methodological direction of the core product in close collaboration with product, science, and engineering partners.

• Contribute to and evolve our methodology to keep it at the frontier.

• Serve as a thought partner, reviewing and influencing research, analysis, and technical decisions across the team.

• Translate research ideas into product features, working with product and engineering leads to balance scientific rigor, usability, and scalability.

• Mentor and develop applied scientists, helping raise the overall quality and impact of our science team.

• Communicate complex scientific ideas clearly to internal stakeholders, supporting alignment and informed decision-making.

Qualifications

• MSc/PhD in Economics, Statistics, Quantitative Marketing, or a related quantitative field, or equivalent industry experience

• 5+ years working in applied research or data science roles, ideally in product or platform environments.

• Deep expertise in econometrics, causal inference, and statistical modeling.

• Experience leading or strongly influencing methodological direction in cross-functional settings.

• Proficiency in Python and SQL, with a track record of producing clear, reliable, and reproducible analytical work.

• Strong written and verbal communication skills, especially when explaining complex technical decisions

Bonus Points For

• Prior experience owning or evolving the scientific core of a product or platform.

• Familiarity with marketing measurement, experimentation, or decision science systems.

• Experience mentoring scientists in a growing organization.

About you

• Done is better than perfect - you take small exploratory steps rather than large precise leaps toward solutions. You’re 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 - you’re eager to test new ideas and solve novel problems.

What we 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 place where high expectations fuel even higher growth.

If you thrive 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 when 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 when 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 make hiring decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status.

We believe diverse perspectives make 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.