Analytical Lead - Causal Inference

About Haus

Haus is a first-of-its-kind marketing decision science platform built for the new digital privacy era, where data sharing and PII are restricted. 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 tooling and incrementality testing 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 and has made the list for 2025's exceptional startups!

What you'll do

You will partner directly with the Measurement Strategy team to support the delivery and interpretation of results from our cutting-edge science platform to meet fast growing customer demands. You will serve as a trusted advisor to our customers, focusing on driving value and confidence in results. Collaborating across Measurement Strategy, Science, Engineering, and Product teams, you will develop solutions to ensure robust, reliable results and seamless communication at scale.

The ideal candidate is excited to dive deep into the data and communicate actionable insights to diverse audiences. You will be instrumental in delivering solutions that drive customer value and increase results robustness, process efficiency, and technical clarity. You thrive in dynamic environments, enjoy collaborating with cross-functional stakeholders, and are passionate about continually improving processes and helping customers unlock the full value of our platform.

Please apply if you want to provide real value, learn new things, and own the delivery of critical insights on a growing data science product.

Responsibilities

• Partner closely with our Measurement Strategy, Science, and Product leads to deliver analyses on gaps and pain points in our modeling and results delivery process.

• Develop and implement solutions to up-level existing workflows, visualizations, and metrics to bring high-quality insights at scale to all of our customers.

• Serve as a trusted advisor to our customers on interpretation of test results and scientific methodology, distilling complex statistical / econometrics concepts into actionable recommendations.

Qualifications

• 5+ years working in a Data Scientist / Analyst role, or a data-intensive consulting role with a focus on delivery, process, or execution.

• MSc/PhD in Economics, Statistics, or another quantitative field, or equivalent industry/academic experience.

• Strong communication skills with experience synthesizing complex technical concepts concisely and precisely to customers and/or cross-functional stakeholders.

• Experience researching, developing and implementing causal inference methodologies

• Proficiency with analytical tools such as Looker, Tableau, dbt.

• Proficiency in languages such as Python and SQL.

• Familiarity with marketing measurement methodologies, particularly geo-based or regional testing, is a plus.

About you

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

• Act like an owner - you take shared responsibility for team success. You bring attention-to-detail and rigor to model 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.