Senior Data Scientist - AI-Driven Product Analytics

Realtor.com; Scottsdale (AZ); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

401(k) match

Tuition reimbursement

Paid holidays

Job summary

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

Collaborating with Product, Engineering, Finance, and partner data teams, you will surface high-impact opportunities, improve data quality, and enable self-service reporting for cross-functional teams while advancing AI-enabled insights and scalable analytics.

Qualifications

• BS in computer science, statistics, mathematics, OR related fields.
• 5+ years in data science, ML, or applied statistics with product analytics focus.
• Strong SQL, Python, and visualization tool proficiency.

Responsibilities

• Partner with Product, Engineering, Finance, and data teams to drive insights.
• Own experimentation and analytics influencing roadmap and strategy.
• Design self-service AI-enabled reporting for cross-functional teams.
• Improve data quality and tracking across content and consumer experiences.
• Translate analytics into actionable recommendations for leadership.

Skills

Strong analytical thinking

Communication skills

Product analytics

Experimentation

Statistical thinking

Education

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

5+ years in data science or applied statistics

Tools

SQL

Python

Tableau

Amplitude

dbt

Airflow

Streamlit

Claude/MCP

n8n

Windsurf

Job description

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

Collaborating with Product, Engineering, Finance, and partner data teams, you will surface high-impact opportunities, improve data quality, and enable self-service reporting for cross-functional teams while advancing AI-enabled insights and scalable analytics.