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About the Role

This role serves as a senior analytics partner on RDC Next, focusing on Realtor.com Plus, the partnership platform connecting MLS organizations, their agent members, and consumers. The position owns experimentation, business analytics, and reporting, delivering insights that influence product roadmap, market launch strategy, and business strategy. By partnering with cross-functional teams, the role ensures alignment on business objectives, facilitates innovation, and supports scalable solutions through advanced analytics and performance measurement.

Responsibilities

Collaborate with product, design, engineering, and marketing stakeholders to identify data science opportunities and shape product strategy.
Own analytics end-to-end for consumer product initiatives, defining success metrics, partnering on instrumentation, conducting deep-dive analysis, and delivering recommendations.
Apply advanced statistical and machine learning techniques to consumer behavior and clickstream data to identify drivers of engagement, retention, and conversion.
Design and analyze experiments (A/B and quasi-experimental) and improve impact measurement.
Build and maintain datasets, metric definitions, pipelines, and dashboards for trustworthy and self-serve consumer analytics.
Mentor other analysts and data scientists, setting analytical standards, documentation habits, and code quality expectations.
Partner with Data Engineering and Machine Learning Engineering teams to productionize models and enhance the data foundation.
Use AI tooling (LLM assistants, AI coding and analysis agents, internal AI platforms) to accelerate the analytics lifecycle.
Design and build AI-enabled analytics, including LLM-powered synthesis of unstructured inputs and conversational interfaces.
Apply sound judgment and practical guardrails to AI-assisted work, validating AI-generated code and output.
Stay current with evolving AI tooling, evaluate new capabilities, and share findings with the team.

Requirements

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.
Experience supporting a consumer-facing digital product is preferred.
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.
Strong understanding of statistical analysis, hypothesis testing, and experimental design.
Demonstrated hands-on use of AI tools in day-to-day analytical work.
Curiosity and self-direction to keep learning as new AI capabilities emerge.
Product sense and a strategic mindset to understand business operations, 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.
Experience building with LLM APIs, prompt engineering, retrieval-augmented generation (RAG), or agentic workflows in a data or analytics context is preferred.
Experience working with large-scale behavioral or clickstream data and modern data stack tooling (e.g. dbt, Airflow) is preferred.
Experience partnering with product teams in real estate, marketplaces, or another two-sided consumer business is preferred.

Skills

SQL
Python
R
Pandas
NumPy
scikit-learn
Snowflake
Tableau
Looker
Amplitude
Data Visualization
Storytelling
Statistical Analysis
Hypothesis Testing
Experimental Design
AI Tools
LLM APIs
Prompt Engineering
Retrieval-Augmented Generation (RAG)
Agentic Workflows
dbt
Airflow

Experience Level

5+ years of experience as a Data Scientist or Analytics professional

Education Level

Bachelor’s Degree in Computer Science, Statistics, Mathematics, Economics or a related quantitative field

Benefits

Inclusive and Competitive medical, Rx, dental, and vision coverage
Family forming benefits
13 Paid Holidays
Flexible Time Off
8 hours of paid Volunteer Time off
Immediate eligibility into Company 401(k) plan with 3.5% company match
Tuition Reimbursement program for degreed and non-degreed programs
1:1 personalized Financial Planning Sessions
Student Debt Retirement Savings Match program
Free snacks and refreshments in each office location

About the Company

Realtor.com® is recognized as the No. 1 site trusted by real estate professionals, leading online real estate for over 25 years.
The company connects buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home.
Realtor.com® makes a significant impact on the real estate industry and provides consumers with an easy-to-use, easy-to-understand user experience for navigating major home purchases.
The company's mission is to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance.

Equal Opportunity

Realtor.com® is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law.
Realtor.com® will provide reasonable accommodations for otherwise qualified disabled individuals.