cMMM Applied Science Manager

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

You will lead the team scaling the production of Haus cMMM models. Sitting at the intersection of science, customer, and engineering, you will drive towards lightning-fast production of models that maintain our high bar of scientific rigor and customer value.

The ideal candidate will have experience leading operation-heavy science teams with focus on scaling science. You have a laser focus on identifying and improving efficiency metrics, championing innovative science, building and delivering on an ambitious roadmap, and communicating that roadmap with both technical and non-technical stakeholders.

Responsibilities

• Lead a team of high-performing scientists developing and generating econometric models

• Identify and surface efficiency KPIs to drive quick, high-quality results across the model life cycle (including data exploration, initial model building, and results refreshes)

• Build and execute a roadmap that optimizes against efficiencies in model delivery while maintaining high scientific rigor

• Collaborate with cross-functional partner teams to deliver on roadmap

Qualifications

• MSc in a quantitative field (Statistics, Economics, Data Science, etc.) or equivalent industry/academic experience

• 4+ years working in an Economist / Data Scientist / Applied Scientist role generating insights for stakeholders/customers using causal models and/or building science models for production environments

• 2+ years managing scientists

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

• Experience in causal inference and machine learning

About you

• Aim high - you identify and hold your team to high, metric driven standards

• Experiment boldly - you try new approaches to improve efficiency of your team and are ready to pivot when you get data for better ways to operate

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

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

What we offer

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.