Sr. Data Scientist, Product

Realtor.com Careers•Austin, TX

10h•Hybrid

About The Position

The position serves as a senior analytics partner on Owners and Sellers, driving data-informed decision-making to optimize product development and enhance the consumer experience. This role owns experimentation, business analytics, and reporting, delivering actionable insights that directly influence the product roadmap and broader business strategy. By partnering with cross-functional teams—including Product, Engineering, Finance, Marketing, and Business Intelligence—the role ensures alignment on key business objectives, facilitates rapid innovation, and supports scalable solutions through advanced analytics, consumer behavior insights, and performance measurement. The role is critical in surfacing high-impact opportunities, improving data quality, and enabling self-service reporting to empower teams across the organization.

Requirements

Expertise in Data Science & Search –MS/BS in computer science, statistics, mathematics, operations research or related fields, and 5 years of relevant experience in data science, machine learning or applied statistics, with a strong background in product analytics or experimentation.
Proficiency in SQL, Python, Tableau, and Amplitude (or similar analytics tools).
Experience with AI enabled tools (streamlit, Claude/MCP, n8n, windsurf) is a must.
Ability to create ETL pipelines using dbt + Airflow.
Strong Creative Thinking & Problem-Solving Skills – Passion for tackling complex analytical problems, improving user experience, experimentation, and driving measurable impact.
Excellent Communication – Ability to articulate insights from data, statistical or ML concepts to both technical and non-technical stakeholders.

Responsibilities

Facilitate both short- and long-term strategic goals across core product initiatives.
Lead exploratory analyses to identify and size product development opportunities, balancing trade-offs between feature growth and optimization.
Drives the creation of learning agendas, design multivariate tests, and translate complex analytical findings into actionable recommendations that shape critical business decisions and influence the product roadmap.
Define success metrics for strategic initiatives, while delivering high-quality, data-driven analyses that surface impactful insights—particularly around consumer behavior, segmentation, and quality acquisition.
Champion the development of self-service AI-enabled reporting tools, empowering cross-functional teams to independently explore, measure, and monitor performance.
Drive continuous improvements in tracking and data quality, lead deep-dive analyses to understand product performance, and address key strategic questions.
Provide a unique opportunity to influence product direction by uncovering foundational insights into consumer preferences, behaviors, and intent through descriptive, statistical, and predictive analytics.