Senior Data Scientist
ZillowMexico City, Mexico
Posted March 9, 2026
Full Time
About the Company
Join our mission to give the people power to unlock life’s next chapter. We’re looking for smart, passionate people to join our largely distributed workforce as we reimagine the real estate transaction and change the way people buy, sell, rent and finance their homes. Our homes are the heartbeat of our lives, and we believe that finding a home shouldn’t be so hard in today’s always-on world. That’s why we’re reimagining the traditional rules of real estate to make it easier than ever to move from one home to the next. Our journey began nearly 15 years ago with a handful of employees and one big idea: to make it radically easier for people to move. We began by helping people understand and track their homes’ values with the Zestimate, our proprietary algorithm, and then with advanced technology and valuable connections with real estate professionals. Today, Zillow has become a household name; “Zillow” is Googled more frequently than “real estate.” We believe that the time for a seamless and convenient real estate experience is now. This is Zillow’s next chapter.
Job Description
As a Senior Data Scientist at StreetEasy, you will apply a broad range of data science skills to create a fantastic experience for our consumers and partners, driving decisions that shape how people find homes in New York City and New Jersey.
Requirements
- BS degree in a relevant field (e.g., Computer Science, Statistics, Applied Math, Operations Research, Economics) or equivalent practical experience.
- Advanced English communication skills, as most stakeholders are based in the US, with the ability to collaborate effectively across teams and time zones.
- Excellent communication skills, with the ability to distill complex issues and detailed analyses into simple, structured frameworks and concrete action plans.
- Experience prioritizing impact through 80/20-style analysis, quickly using data to solve the most important parts of a problem in the fastest, most efficient way possible.
- Proficiency in SQL and Python (or another programming language), with experience using tools such as Tableau and Databricks for analysis and visualization.
- 5+ years of work experience involving quantitative data analysis and complex problem solving, ideally in a product or business setting.
- Hands-on experience with experimentation methodologies (for example, designing, running, and interpreting A/B tests).
- Strong product sense and business acumen, with experience collaborating with cross-functional partners (especially engineering, product, and marketing) to connect business needs with data and insights.
Benefits
- Competitive base salary
- Benefits
