Software Engineer, ML Ops

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, Baseline Ventures, and Haystack.
This is a unique opportunity to help us build a robust and scalable foundation for Haus data and science operations. You will be working on the systems that power the Haus product and are at the heart of what we do.
The ideal candidate is somebody who is an excellent communicator, is an earlier career software engineer or career-switcher who has worked adjacent to or with data-powered products. Please apply if you are an aspiring technologist who is detail-oriented, enjoys learning new things, and a variety of responsibilities.

Responsibilities

• Build and maintain systems that support automation of product workflows on Google Cloud Platform using Python and other languages as appropriate.
• Work directly with customer success and the science team at Haus to improve existing processes and automate workflows for experiment design and analysis.
• Partner with science, customer success, and engineering teams to address workflow inefficiencies and improve the reliability of experiment design and analysis.
• Continually explore new workflow optimizations as Haus' product suite evolves.

Qualifications

• 1-2+ years of experience as a Software Engineer, Data/BI/Analytics Engineer, Data Scientist, or Data Analyst.
• Experience building and deploying data-driven products.
• Experience working with Python and SQL.
• Detail-oriented and organized.
• Demonstrated passion and aptitude for software engineering and building reliable systems.

Bonus Points

• Start-up experience
• Experience with cloud infrastructure (Google Cloud, AWS, etc).
• Experience with modern data warehouses like BigQuery, Snowflake, etc.
• Experience with data and ML pipelines/orchestration.

What we offer

• Competitive salary and early 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.