Data Scientist, Product

Realtor.com

Realtor.com® is a leading real estate platform that provides comprehensive listings and valuable tools for homebuyers and sellers. The company is known for its forward-thinking approach and dedication to easing the process of buying, selling, and living in homes. The Data Scientist, Product role is crucial for empowering the analytics team and guiding leaders to make informed decisions that impact millions of users. This role focuses on democratizing insights and leveraging data to optimize media efficiency.

In this role you can expect to have the responsibilities:

• Create full funnel reports for New Homes business to assess consumer behavior and engagement.
• Collaborate with marketing, product, and engineering teams to set up measurement best practices.
• Work closely with machine learning teams for KPI optimization.
• Deliver insights across the customer journey to enhance acquisition strategies.
• Automate reporting for diverse internal and external stakeholders.
• Analyze test data integrations and develop hypotheses for product experiments.
• Manage product partnerships with sales stakeholders.

This role comes with the following benefits:

• Warm, inclusive culture.
• Development opportunities for professional growth.

This role requires you to have:

• Degree in computer science, statistics, mathematics, or related discipline.
• 2+ years experience in analytics or data science.
• Strong analytics skills to handle large data volumes.
• Expertise in statistical analysis and measurement.
• Strong SQL skills and proficiency in Python or R.
• Proficiency in Tableau or similar BI tools.
• Collaborative team player.

You would benefit from having:

• Experience with ETL pipelines using DBT and Airflow.
• Documentation experience related to front-end changes and implementations.

Realtor.com® values diversity and inclusivity, ensuring equal opportunity employment. They provide reasonable accommodations for disabled individuals, reinforcing their commitment to an inclusive workplace.