Job details
About the team
StreetEasy, part of Zillow Group, is reimagining how people buy, sell, and rent homes across New York City and New Jersey by combining vetted listings, intuitive search tools, and data-driven guidance. Our technology- and data-focused team builds innovative products used by millions of people in NYC and beyond, using insights and experimentation to unlock better home-shopping experiences within the broader Zillow ecosystem.About the role
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. You will tackle large, ambiguous, and cross-functional problems in close partnership with Product, Marketing, and Strategy & Operations, turning data into insights and experiments that move the business forward.
You will join our Understand & Guide team, working on projects that improve the user experience across our apps and website. For example, you may:
Optimize user sign-in and sign-up flows by running A/B tests and measuring impact.
Leverage our unique user data to improve and personalize the experience across the app and website.
Build and launch new user experiences (for example, a revamped Open House sign-up) and track their performance over time.
This role is fully remote in Mexico, with the option to work from our Mexico City office.
You Will Get To
Present customer insights, performance metrics, and experimentation results to both technical and non-technical partners, translating complex analysis into clear recommendations.
Identify, frame, and break down complex problems in your domain, then socialize them and partner with other teams to deliver solutions to enterprise-wide challenges.
Champion data-informed decision making within your product area and influence strategy with evidence-based insights.
Build robust data assets, including dashboards (for example, in Tableau and Databricks) and data transformation pipelines (such as using dbt), to support reliable analytics at scale.
Create reusable analytical frameworks (for example, simulations or causal inference analyses) that enable the broader team to move faster and more consistently.
Design and execute experiments (e.g., A/B tests) to measure the impact of product changes, framing problems statistically and in the broader business and customer context.
Partner with engineering to improve data collection, ensuring high-quality, trustworthy data for decision making.
Mentor and coach junior team members, sharing best practices in experimentation, analytics, and stakeholder communication.
In addition to a competitive base salary and benefits, this position is also eligible for equity awards based on factors such as experience, performance and location.
Who you are
You are a data science generalist who enjoys everything from straightforward data pulls to advanced statistical modeling, and you are excited to apply those skills to real product and business problems.
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.
Here at Zillow, we value the experience and perspective of candidates with non-traditional backgrounds. We encourage you to apply if you have transferable skills or related experiences.
Nice to Have
Experience building and productionizing machine learning models.
Experience working with dbt for data transformation.
Experience with AI-assisted development or analytics tools (for example, Cursor AI).
MS degree in a relevant field (e.g., Computer Science, Statistics, Applied Math, Operations Research, Economics).
Get to know us
At Zillow, we’re reimagining how people move—through the real estate market and through their careers. As the most-visited real estate platform in the U.S., we help customers navigate buying, selling, financing and renting with greater ease and confidence. Whether you're working in tech, sales, operations, or design, you’ll be part of a company that's reshaping an industry and helping more people make home a reality.
Zillow is honored to be recognized among the best workplaces in the country. Zillow was named one of FORTUNE 100 Best Companies to Work For® in 2025, and included on the PEOPLE Companies That Care® 2025 list, reflecting our commitment to creating an innovative, inclusive, and engaging culture where employees are empowered to grow.
No matter where you sit in the organization, your work will help drive innovation, support our customers, and move the industry—and your career—forward, together.
Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact your recruiter directly.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
