HausHA

[Senior / Staff] Software Engineer, Science Platform

Haus is a marketing science platform that helps brands measure the incrementality of their marketing investments.

Haus

Employee count: 51-200

United States only
About HausHaus is a first of its kind decision science platform for the new digital privacy paradigm where data sharing and PII is restricted. Haus uses frontier causal inference based econometric models to run experiments and help brands understand how the actions they take in marketing, pricing and promotions impact the bottom line. Our team is comprised of former product managers, economists and engineers from Google, Netflix, Amazon and Meta who saw how costly it is to support high-quality decision science tooling and incrementality testing. Our mission is to make this technology available to all businesses, where all the heavy lifting of experiment design, data cleaning, and analysis/insights are taken care of for you. Haus is working with well known brands like FanDuel, Sonos, and Hims & Hers, and has seen more than 30x ROI by running experiments and helping brands make more profitable decisions. We are backed by top VCs like Insight Partners, 01 Advisors, Baseline Ventures, and Haystack.
We're honored that Haus has once again been recognized and has made the list for 2025's exceptional startups!
The RoleThis backend role focuses on developing our Science Platform to automate and enhance our core Geolift product and beyond.

Responsibilities

  • Drive initiatives from concept to final product delivery, ensuring seamless end-to-end execution: lead or contribute to the design, development, optimization, and productionalization of solutions for complex and high-impact science problems.
  • Demonstrated experience building data systems or data-driven products. Comfortable deep-diving into complex data considerations.
  • Identify, design, and implement internal process improvements using a variety of tools
  • Help build a growing engineering organization as a thought leader
  • Participate in an on-call rotation and debug interconnected systems
  • Own the features you build end-to-end

What you should have

  • 7+ years of experience building scalable systems and APIs
  • Proficient in at least one OOP language: Python, TypeScript, Scala, Golang, Java
  • Comfortable working in a legacy codebase
  • Experience working in a cloud environment
  • Experience with relational databases like SQL
  • Experience as a tech lead a plus
  • Excellent written and verbal communication skills
  • Interest in developing a world-class product
  • Experience with data integrations with third-party sources

Bonus Points

  • Early-stage startup experience
  • Experience with data science or ML workflows in a cloud computing environment
  • Experience with optimization techniques, including reinforcement learning (RL), Bayesian methods, and multi-armed bandits.
  • Experience with data science or machine learning approaches in marketing and growth
  • Prior experience building ML infrastructure
  • Experience with Flask or other Python web frameworks

What We Offer

  • Competitive salary and startup equity
  • Top of the line health, dental, and vision insurance
  • 401k plan
  • Provide you with the tools and resources you need to be productive (new laptop, equipment, you name it)
  • Small team with big impact on the overall output
Haus is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.

About the job

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Job type

Full Time

Experience level

Senior

Location requirements

Hiring timezones

United States +/- 0 hours

About Haus

Learn more about Haus and their company culture.

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At Haus, we are dedicated to revolutionizing the way businesses measure their marketing efforts through our exceptional incrementality platform. Our mission is to democratize access to cutting-edge causal inference tools, empowering companies to make data-driven decisions that truly reflect the business impact of their marketing investments. With our state-of-the-art tools, we help brands large and small understand how their advertising spend translates into actual, measurable outcomes.

We come from diverse backgrounds, including previous leadership roles at tech giants such as Google and Amazon. Our team consists of PhD economists and data scientists who are passionate about building robust solutions to provide accurate and actionable insights. We deliver fast and automated methods for conducting experiments, so you can launch your marketing campaigns with confidence, knowing you have the tools to measure their effectiveness without relying on outdated metrics. Through methods like GeoLift and Causal Attribution, we provide businesses with the means to optimize marketing strategies across all channels, ensuring the best ROI on their ad spend.

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Haus

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Haus hiring [Senior / Staff] Software Engineer, Science Platform • Remote (Work from Home) | Himalayas