Senior Data Scientist, AI-Driven Product Analytics

Realtor.com; Austin (TX); On-site; USD 130,000 - 170,000; Full time

Benefits offered by this job

Inclusive medical coverage

Family forming benefits

13 Paid Holidays

Flexible Time Off

401(k) company match

Job summary

Realtor.com is seeking a senior analytics partner to drive data-informed decisions across consumer product experiences. You will own experimentation, business analytics, and data to influence product roadmaps and the broader business strategy.

In this role, you will collaborate with Product, Engineering, Finance, and partner data teams to align objectives, enable rapid innovation, and deliver scalable analytics solutions that improve data quality and empower self-service reporting across the

Qualifications

• BS in a quantitative field with 5+ years in data science, analytics, or ML.
• Proven expertise in product analytics, experimentation, and storytelling with data.
• Strong skills in SQL, Python, Tableau, and Amplitude or similar tools.

Responsibilities

• Lead analyses to size product opportunities and quantify impact on engagement and revenue.
• Design and run multivariate tests; translate results into actionable roadmap recommendations.
• Develop self-service analytics and reporting to empower cross-functional teams.
• Define success metrics for strategic initiatives and monitor data quality and performance.
• Collaborate with Product, Engineering, Finance, and partner data teams to align objectives.

Skills

SQL

Python

Tableau

Amplitude

AI tools

Communication

Education

BS in Computer Science or Statistics

Tools

dbt

Airflow

Streamlit

Claude/MCP

Windsurf

Job description

Realtor.com is seeking a senior analytics partner to drive data-informed decisions across consumer product experiences. You will own experimentation, business analytics, and data to influence product roadmaps and the broader business strategy.

In this role, you will collaborate with Product, Engineering, Finance, and partner data teams to align objectives, enable rapid innovation, and deliver scalable analytics solutions that improve data quality and empower self-service reporting across the