Sr. Data Scientist, Product Analytics

Realtor.com Careers•Austin, TX

17h•Hybrid

About The Position

Realtor.com® is seeking a Sr. Data Scientist, Product Analytics to serve as a senior analytics partner on consumer product experiences. This role will drive data-informed decision-making across the content and visualization ecosystem, owning experimentation, business analytics, and data to deliver actionable insights that influence the product roadmap and broader business strategy. The position involves partnering with cross-functional teams (Product, Engineering, Finance, partner data teams) to ensure alignment on business objectives, facilitate innovation, and support scalable solutions through advanced analytics, consumer behavior insights, and performance measurement. The role is crucial for identifying high-impact opportunities, improving data quality, and enabling self-service reporting.

Requirements

BS in computer science, statistics, mathematics, operations research, or related fields.
5+ years of relevant experience in data science, machine learning, or applied statistics.
Strong background in product analytics or experimentation.
Extensive technical skills: proficiency in SQL, Python, Tableau, and Amplitude (or similar analytics tools).
Experience with AI-enabled tools (e.g., Streamlit, Claude/MCP, n8n, Windsurf) is a must.
Ability to create ETL pipelines using dbt and Airflow.
Strong creative thinking and problem-solving skills.
Excellent communication skills: ability to articulate insights from data, statistical, or ML concepts to both technical and non-technical stakeholders.

Nice To Haves

Experience with A/B testing and causal inference methods (e.g., difference-in-differences, synthetic control, propensity score matching).
Experience with content analytics, media quality measurement, or marketplace analytics, including measurement frameworks for visual or spatial content.
Familiarity with partner ecosystem analytics, coverage metrics, or two-sided marketplace dynamics.
Experience with LLM APIs (e.g., Claude, OpenAI, or similar) for analytical or data product tasks.
Master's or Ph.D. in a quantitative field.

Responsibilities

Facilitate short- and long-term strategic goals across core consumer product initiatives, focusing on how visual content and media quality drive consumer engagement and lead generation outcomes.
Lead exploratory analyses to identify and size product development opportunities, balancing trade-offs between feature growth and optimization across the content and visualization ecosystem.
Drive 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 and deliver high-quality, data-driven analyses that surface impactful insights, particularly around consumer behavior, content engagement, and media quality signals.
Champion the development of self-service AI-enabled reporting tools to empower 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 across content and consumer experience initiatives.
Uncover foundational insights into how consumers engage with visual content, media assets, and emerging product experiences through descriptive, statistical, and predictive analytics to influence product direction.