Data Scientist

About the Role

We’re seeking a high-caliber Senior Data Scientist to lead data science initiatives on the Document, Accounting, Takeoffs and Pro Commerce tracks, which are mission-critical aspects of a pro’s project lifecycle. Our mission is to be the thought partners of the Houzz Pro software product team by providing data driven insights to guide product development and business direction. You will work closely with PMs, Engineering, Design and sometimes senior leaders in this role.

What You’ll Do

• Be the thought partner of the PMs leading the document, accounting, takeoffs and pro commerce tracks to define key metrics, measure and derive insights on how professionals use these features and drive conversations to shape growth oriented product strategies and optimize product roadmap

• Lead complex data science initiatives, including sophisticated analyses, independently own the design, running, and analysis A/B tests and other causal inference methods, apply machine learning methods where appropriate and drive adoption of recommendations across teams so we can deliver the best end-to-end document journey, accounting experience, etc.

• Dig into large, complex datasets to uncover what drives value for professionals, and translate your findings into clear narratives and dashboards for stakeholders at every level

• Work with data engineering to improve data pipelines, instrumentation, and data quality so the team can move fast with confidence

• Use AI tools to speed up your own work, from exploratory analysis and code generation to automating recurring reporting, as well as innovative DS projects to uncover new opportunities

• Work effectively in areas of significant ambiguity, framing hypotheses, defining success metrics, and leading the implementation of solutions to complex, open-ended problems with minimum guidance, and effectively communicate results to the entire organization including senior leaders

• Provide technical guidance to junior team members and foster a culture of continuous learning

At a Minimum, We’d Like You to Have

• A B.A./B.S. degree in technical/quantitative disciplines or equivalent practical experience

• 5+ years experience with analytics, preferably with a SaaS business

• Strong proficiency in SQL and Python

• A solid foundation in statistics and experimentation, including A/B test design, causal inference, and knowing when a result is truly meaningful