[Remote] Senior Data Scientist, StreetEasy
Note: The job is a remote job and is open to candidates in USA. Zillow is a leading real estate platform focused on helping customers navigate the buying, selling, financing, and renting processes. As a Senior Data Scientist at StreetEasy, you will leverage data to enhance marketing strategies, conduct experiments, and provide insights that improve customer experience and drive traffic to the company's websites and apps.
Responsibilities
- Lead end-to-end experimentation for the marketing team, including A/B test design, analysis, and interpretation of results
- Drive measurement approaches that improve marketing effectiveness, including marketing mix modeling and related performance analyses
- Translate customer insights, metrics, and analytical findings into clear recommendations for technical and non-technical partners
- Identify complex business problems, frame them clearly, and partner across teams to deliver scalable, data-informed solutions
- Build reusable analytical frameworks, including simulations and causal inference approaches, to support broader team decision-making
- Create dashboards and reporting in tools such as Tableau and Databricks to improve visibility into performance and opportunities
- Partner with engineering to improve data quality, strengthen data collection, and build transformation pipelines using tools such as dbt
- Mentor junior team members and champion data-informed decision-making across the organization
Skills
- Bachelor's degree in Computer Science, Statistics, Applied Math, Operations Research, Economics, or a related quantitative field, or equivalent practical experience
- 5+ years of experience using data to solve complex business problems in a professional environment
- Strong proficiency in SQL and Python, or comparable programming experience, with experience using tools such as Tableau and Databricks
- Experience designing, running, and interpreting experiments, with a strong foundation in statistical analysis and testing methodologies
- Strong business acumen and product sense, with the ability to connect business goals to practical, data-driven recommendations
- Excellent communication skills and experience working cross-functionally with partners across engineering, product, and marketing
- Broad data science experience spanning exploratory analysis through advanced modeling; experience with machine learning, dbt, marketing attribution, MMM, or AI tools is a plus
- Ability to solve problems efficiently, prioritize high-impact work, and adapt in a fast-moving environment
- Experience with machine learning, dbt, marketing attribution, MMM, or AI tools is a plus
Benefits
- In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location.
- Employees in this role will not be paid below the salary threshold for exempt employees in the state where they reside.
Company Overview
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