Top AI & Machine Learning Jobs

Owns experimentation, business analytics, reporting, and advanced analysis for Realtor.com’s RDC Next platform. The role analyzes consumer and agent behavior, designs A/B and quasi-experiments, builds trusted datasets and dashboards, and delivers recommendations that influence product and business strategy. It also develops AI-enabled analytics workflows using LLMs, RAG, and agentic tools; partners with Product, Engineering, Finance, Marketing, and data teams; mentors analysts; and helps establish analytical standards and scalable data solutions.

Leads consumer data science strategy and high-impact analytical initiatives, including experimentation, causal inference, measurement frameworks, and AI-assisted analytics. Partners with Product, Engineering, and executives to shape roadmaps, define metrics, communicate recommendations, and prioritize business opportunities. Mentors data scientists, establishes technical standards, and develops scalable self-service analytics capabilities using modern data and AI tools.

Leads product analytics, experimentation, and advanced analyses for consumer content and visualization experiences. Defines success metrics, designs tests, improves tracking and data quality, builds ETL pipelines and AI-enabled self-service reporting, and translates consumer behavior insights into product and business strategy. Partners with Product, Engineering, Finance, and data teams to identify opportunities, measure performance, and influence the product roadmap.

Senior analytics partner leading product experimentation, business analytics, consumer behavior analysis, and performance measurement for content and visualization experiences. Responsibilities include exploratory analysis, multivariate testing, metric definition, data quality improvement, ETL pipeline development, self-service AI-enabled reporting, and translating statistical or predictive insights into product and business strategy. The role collaborates with Product, Engineering, Finance, and data teams to influence roadmap decisions and improve consumer engagement.

Leads CRM marketing analytics for Seller and Owner verticals by developing segmentation, targeting, personalization, customer journey, and campaign measurement strategies. Analyzes consumer behavior to improve engagement, retention, lead generation, cross-selling, and revenue. Builds statistical and machine learning models, integrates CRM data, establishes KPIs, communicates insights to stakeholders, and partners with Marketing, Data Engineering, and IT teams.

Develop CRM marketing strategies for Seller and Owner audiences using segmentation, personalization, customer journey analysis, statistical modeling, and machine learning. Measure campaign effectiveness through KPIs and analytical frameworks, identify engagement and retention opportunities, and communicate actionable insights to technical and non-technical stakeholders. Collaborate with Marketing, Data Engineering, and IT teams on data quality, infrastructure, and tailored analytical solutions.