Staff Data Scientist, Marketing

Realtor.com Careers - Austin, TX

Full-time - Senior

Austin, TX

About the position

The Staff Data Scientist, Marketing at Realtor.com will play a crucial role in leveraging data to enhance marketing strategies and improve user engagement across various platforms. This position focuses on creating comprehensive reporting, optimizing media performance, and collaborating with cross-functional teams to drive data-driven decision-making in the real estate sector.

Responsibilities

• Create full funnel reporting for the Seller business to understand consumer behavior, engagement, and retention across all platforms.
• Work collaboratively with marketing, product, and engineering to establish measurement best practices for SEM/performance media.
• Prescribe different levers available on paid search to optimize media performance.
• Track performance of said levers and surface what's working and what's not working to leadership.
• Deliver SEM insights across the customer journey to inform acquisition while developing decision-making frameworks around KPIs.
• Automate reporting deliverables for cross-functional teams.
• Analyze test data integrations and develop hypotheses around media experiments.
• Ownership of campaign management, budgeting, and optimization efforts across geo/demo.

Requirements

• 8+ years of related experience in analytics or data science.
• Experience with setting up campaigns on Google Search Ads.
• Preferably experience with setting up floodlights in Google Tag Manager and debugging server-side tracking issues.
• Experience with analyzing search query reports for keyword insights, creative testing, and landing page optimization.
• Robust analytics skills and ability to work with and analyze large volumes of complex data.
• Strong analytical thinking and ability to make data-driven decisions using statistical methods.
• Strong SQL and either intermediate Python or R.
• Ability to create ETL pipelines using Dbt + Airflow.
• Well versed in Tableau or similar BI tools.
• Four-year college or university degree in computer science, computer engineering, statistics, mathematics, information management, or a related discipline.

Benefits

• Warm, welcoming, and inclusive culture
• Intellectual challenges
• Development opportunities for growth