Senior Data Scientist

Zillow

Senior Data Scientist at StreetEasy using data-driven insights to shape marketing strategy. Leading experimentation and analytics initiatives within the marketing team.

Posted 4/28/2026full-timeRemote • California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington • 🇺🇸 United StatesSenior💰 $148,600 - $237,400 per yearWebsite

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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,
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.

Benefits

Comp & perks

Competitive base salary
Equity awards based on experience, performance, and location

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLPythonA/B testingstatistical analysismarketing mix modelingdata analysismachine learningcausal inferencedata modelingexploratory analysis

Soft Skills

communicationbusiness acumencross-functional collaborationmentoringproblem-solvinganalytical thinkingrecommendation formulationteam leadershipdecision-makingcustomer insight translation