Senior Data Scientist, AI-Driven Product Analytics

Realtor; Austin (TX); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Healthcare benefits

401(k) with company match

Paid time off

Job summary

Realtor.com is seeking a senior analytics partner to drive data-informed decision-making across our content and visualization ecosystem. You will own experimentation, business analytics, and data to impact the product roadmap and strategy.

Collaborate with Product, Engineering, Finance, and partner data teams to surface high-impact opportunities, improve data quality, and enable self-service reporting that empowers teams.

Qualifications

• BS in computer science, statistics, mathematics, operations research, or related fields
• 5+ years of relevant experience in data science, machine learning, or applied statistics
• Strong background in product analytics or experimentation

Responsibilities

• Facilitate short- and long-term strategic goals across core consumer product initiatives
• Lead exploratory analyses to size product development opportunities
• Drive learning agendas and design multivariate tests
• Translate analytical findings into actionable recommendations shaping product roadmap
• Define success metrics for strategic initiatives and deliver data-driven analyses
• Champion self-service AI-enabled reporting tools for cross-functional teams
• Improve data quality and tracking through deep-dive analyses of product performance

Skills

SQL

Python

Tableau

Amplitude

ETL pipelines

Airflow

Statistics

Communication

Education

BS in computer science, statistics, mathematics, or related fields

Tools

dbt

Streamlit

Claude/MCP

N8n

Windsurf

Job description

Realtor.com is seeking a senior analytics partner to drive data-informed decision-making across our content and visualization ecosystem. You will own experimentation, business analytics, and data to impact the product roadmap and strategy.

Collaborate with Product, Engineering, Finance, and partner data teams to surface high-impact opportunities, improve data quality, and enable self-service reporting that empowers teams.