smartrent · Phoenix, Arizona
Skills: Python, SQL
Who We Are SmartRent (NYSE: SMRT) is revolutionizing how people live and work with the industry’s only end-to-end platform designed for the rental housing industry. By uniting purpose-built software, integrated hardware and full implementation and support in one ecosystem, we help owners and operators simplify operations, cut costs and deliver exceptional resident experiences. Recognized by Deloitte, HousingWire and the PropTech Breakthrough Awards, SmartRent is shaping the future of property technology and redefining what it means to make rental housing smarter. Job Description As a Data Scientist at SmartRent, you will work at the intersection of our property technology platform and advanced analytics, transforming complex IoT telemetry, resident behavior signals, and operational data into models and decision-support tools that improve outcomes for operators, residents, and SmartRent's internal teams. You'll build and deploy production-grade machine learning solutions, partnering closely with Data Engineering, Product, and business stakeholders to bring models from experimentation through to live product features. Our Data & Analytics team, part of our new transformational Data and AI organization sits at the center of this ecosystem, transforming data into intelligence that powers SmartRent products and drives value for our customers. Prefer a candidate based in Phoenix, AZ to work out of our Phoenix headquarters on a hybrid schedule Responsibilities Design, build, and validate supervised and unsupervised ML models (classification, regression, clustering, recommendation systems) tied directly to SmartRent product and operational use cases such as predictive maintenance for IoT devices, resident churn prediction, and smart access anomaly detection. Work within the Databricks platform: build and manage ML workflows for experiment tracking, Delta Live Tables for feature pipelines, and Unity Catalog for governed access to SmartRent's property and device datasets. Con…
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