Sr. Data Scientist, Product Analytics

About the role

This role serves as a senior analytics partner on consumer product experiences, driving data-informed decision-making across our content and visualization ecosystem. The position owns experimentation, business analytics, and data to deliver actionable insights that directly influence the product roadmap and broader business strategy.

Responsibilities

• Facilitate both short- and long-term strategic goals across core consumer product initiatives, with a focus on how visual content and media quality drive consumer engagement and lead generation outcomes.
• Lead exploratory analyses to identify and size product development opportunities, balancing trade-offs between feature growth and optimization across the content and visualization ecosystem.
• Drive the creation of learning agendas, design multivariate tests, and translate complex analytical findings into actionable recommendations that shape critical business decisions and influence the product roadmap.
• Define success metrics for strategic initiatives, while delivering high-quality, data-driven analyses that surface impactful insights—particularly around consumer behavior, content engagement, and media quality signals.
• Champion the development of self-service AI-enabled reporting tools, empowering cross-functional teams to independently explore, measure, and monitor performance.
• Drive continuous improvements in tracking and data quality; lead deep-dive analyses to understand product performance and address key strategic questions across content and consumer experience initiatives.
• Provide a unique opportunity to influence product direction by uncovering foundational insights into how consumers engage with visual content, media assets, and emerging product experiences through descriptive, statistical, and predictive analytics.

Requirements

• BS in computer science, statistics, mathematics, operations research, or related fields, and 5+ years of relevant experience in data science, machine learning, or applied statistics, with a strong background in product analytics or experimentation.
• Extensive technical skills—proficiency in SQL, Python, Tableau, and Amplitude (or similar analytics tools).
• Experience with AI-enabled tools (e.g., Streamlit, Claude/MCP, n8n, Windsurf) is a must.
• Ability to create ETL pipelines using dbt and Airflow.
• Strong creative thinking and problem-solving skills—passion for tackling complex analytical problems, improving user experience, and driving measurable impact.
• Excellent communication skills—ability to articulate insights from data, statistical, or ML concepts to both technical and non-technical stakeholders.

Preferred Qualifications

• Experience with A/B testing and causal inference methods (e.g., difference-in-differences, synthetic control, propensity score matching).
• Experience with content analytics, media quality measurement, or marketplace analytics—including measurement frameworks for visual or spatial content.
• Familiarity with partner ecosystem analytics, coverage metrics, or two-sided marketplace dynamics.
• Experience with LLM APIs (e.g., Claude, OpenAI, or similar) for analytical or data product tasks.

Skills

• Proficiency in SQL, Python, Tableau, and Amplitude (or similar analytics tools).
• Experience with AI-enabled tools (e.g., Streamlit, Claude/MCP, n8n, Windsurf).
• Ability to create ETL pipelines using dbt and Airflow.
• Strong creative thinking and problem-solving skills.
• Excellent communication skills.

Benefits

Realtor.com® offers a comprehensive benefits package including:

• Inclusive and Competitive medical, Rx, dental, and vision coverage
• Family forming benefits
• 13 Paid Holidays
• Flexible Time Off
• 8 hours of paid Volunteer Time off
• Immediate eligibility into Company 401(k) plan with 3.5% company match
• Tuition Reimbursement program for degreed and non-degreed programs
• 1:1 personalized Financial Planning Sessions
• Student Debt Retirement Savings Match program
• Free snacks and refreshments in each office location

Pay

Competitive compensation package based on experience and qualifications.

Schedule

Full-time position with flexible working arrangements.