{"@context":"https://schema.org","@type":"JobPosting","directApply":"https://schema.org/False","title":"[Senior / Staff] Software Engineer, Science Platform","description":"About Haus

Haus 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 Role

This 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

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