Senior Data Scientist, AI-Enabled Analytics & Growth

Realtor.com

Austin (TX)

Hybrid

USD 130,000 - 190,000

Full time

3 days ago

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Benefits offered by this job

13 Paid Holidays

Flexible Time Off

401(k) with company match

Tuition Reimbursement

Job summary

Realtor.com is seeking a senior analytics partner for RDC Next, focusing on Realtor.com Plus—the MLS partner program. You will own experimentation, analytics, and reporting across the platform, influencing product roadmaps and market launches.

Collaborate with Product, Engineering, Finance, Industry Marketing, and MLS data teams to drive high-impact opportunities as the network scales. You will mentor analysts, set standards, and partner with Data and ML Engineering to productionize models and

Qualifications

Bachelor's degree in Computer Science, Statistics, Mathematics, Economics or a related quantitative field
5+ years of experience as a Data Scientist or Analytics professional, with a strong track record of delivering impactful, data-driven solutions
Strong proficiency in SQL and in Python or R, along with related data analysis libraries (e.g. Pandas, NumPy, scikit-learn)
Hands‑on experience with cloud data warehouses (e.g. Snowflake) and with BI or product analytics tooling (e.g. Tableau, Looker, Amplitude)
Expertise in data visualization and storytelling to effectively communicate complex findings
Strong understanding of statistical analysis, hypothesis testing, and experimental design
Demonstrated hands‑on use of AI tools in day‑to‑day analytical work, plus the curiosity and self-direction to keep learning as new AI capabilities emerge
Product sense and a strategic mindset that enables one to learn how the business operates, understand consumer and stakeholder pain points, and deliver recommendations that drive measurable value
Strong communication skills to effectively communicate complex information and strategies to non‑technical audiences
Preferred Qualifications related to LLM APIs, prompt engineering, and RAG workflows

Responsibilities

Collaborate with product, design, engineering, and marketing stakeholders across Realtor.com to identify questions where data science can add value and shape product strategy.
Own analytics end to end for consumer product initiatives — define success metrics and measurement plans, partner with engineering on instrumentation, run the deep-dive analysis, and land clear recommendations with product leadership.
Apply advanced statistical and machine learning techniques to consumer behavior and clickstream data to surface drivers of engagement, retention, and conversion, and translate findings into strategic recommendations.
Design and analyze experiments (A/B and quasi-experimental), and raise the bar on how the organization measures impact through sound test design and interpretation.
Build and maintain datasets, metric definitions, pipelines, and dashboards that make consumer analytics trustworthy and self-serve for partner teams.
Mentor other analysts and data scientists, and help set analytical standards, documentation habits, and code quality expectations for the team.
Partner closely with Data Engineering and ML Engineering teams to productionize models and improve the data foundation for the organization.
Use AI tooling — LLM assistants, AI coding and analysis agents, and internal AI platforms — to accelerate the analytics lifecycle, including data discovery and reporting.
Design and build AI-enabled analytics: LLM-powered synthesis of unstructured inputs, semantic search, and conversational interfaces for self-serve insights.
Apply guardrails to AI-assisted work, validate AI-generated code and output, and stay current with AI capabilities to guide adoption.