• Job Description

  Req#: 68a8fdc3-afa2-4157-ab52-96340b8bd766

  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 collaborate closely with cross-functional stakeholders to understand customer problems and develop novel solutions, specifically focusing on building solutions for causal inference use cases. You will work alongside with other scientists and engineers to develop these solutions into products on our platform that will benefit our growing customer base.

  The ideal candidate is a hands-on applied scientist who is excited to implement and deploy new causal inference models via scalable software solutions that drive value for customers. You thrive on execution and are able to use strong judgment and clear, succinct communication to drive the right decisions for delivering on our ambitious roadmap. You will be expected to bring a strong point of view on model productionization and scaling, guiding the team in building robust and efficient systems.

  Responsibilities

  • Drive the implementation of innovative solutions that empower our customers to answer important business questions and drive decision-making.

  • 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.

  • Champion best practices like tests, validations, monitoring, and alerting to ensure high quality experiences for a growing number of customers.

  • Partner closely with Haus science and product leads to develop scalable solutions to customer problems, enabling these solutions to become core products in Haus’ product suite.

  Qualifications

  • MSc/PhD in a quantitative field such as Economics, Statistics, Applied Mathematics, or equivalent industry/academic experience.

  • 5+ years working in an Applied Scientist/Machine Learning Engineer role building science models and products for production environments.

  • Experience coding (Python/SQL) and troubleshooting models built for deployment.

  • Experience in statistics and machine learning.

  • Proven ability to tackle technically ambiguous problems and collaborate with cross-functional stakeholders.

  Must haves

  • Enthusiasm for learning or applying causal inference and econometrics, and for scaling causal inference models.

  • Strong communication skills with the ability to synthesize complex technical concepts concisely and precisely.

  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 customer-obsessed, high-ownership team focused on driving impact and learning fast. Our environment rewards curiosity, adaptability, and a bias toward action — especially when it helps us better serve our customers.

  If you're energized by solving dynamic problems, enjoy working in lean, collaborative teams, and thrive in ever-evolving environments, you’ll feel at home here. We invest in exceptional people who want to grow quickly and help shape the future of the company.

  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.

• About the company

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