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Radix is building the most trusted data and analytics platform in multifamily. Joining now means stepping into a place where curiosity wins, ideas move quickly, and your impact shapes an industry. You’ll be part of a high-impact analytics team at Radix, building data-driven products that directly influence how multifamily real estate decisions are made. This role sits at the intersection of advanced analytics, machine learning, and real-world business outcomes—transforming complex, real-time property and market data into actionable insights. You’ll contribute to industry-defining platforms used by operators, investors, and renters, while helping Radix push the boundaries of transparency and intelligence in property technology. Your work will have tangible impact across pricing, forecasting, asset performance, and market strategy.
Job Responsibility:
Analyze large-scale, real-time multifamily datasets to uncover trends, anomalies, and opportunities that drive client value
Build, deploy, and iterate on machine learning models for rent pricing, market forecasting, and asset performance optimization
Apply statistical methods and hypothesis testing to support data-driven product and business decisions
Leverage generative AI tools to improve data ingestion, enrichment, analysis, visualization, and reporting workflows
Partner closely with product, engineering, and operations teams to translate analytical insights into scalable platform features
Design and maintain data pipelines and models deployed on cloud infrastructure such as AWS or Azure
Monitor model performance in production and continuously improve accuracy, reliability, and business relevance
Create clear, compelling visualizations and narratives that communicate insights to non-technical stakeholders
Contribute to the evolution of Radix’s analytics capabilities across RealRents, Radix Analytics, and Radix Underwriting
Requirements:
Strong curiosity and passion for turning complex data into meaningful, real-world insights
Resilience and adaptability in a fast-moving environment where priorities evolve and ambiguity is common
Proven ability to thrive in a startup or high-growth company with significant scale potential
Solid foundation in data science fundamentals, including statistics, probability, and machine learning concepts
Hands-on experience with Python and SQL for analysis, modeling, and automation
Comfort working with cloud platforms (AWS or Azure) and deploying analytical solutions into production
Interest or experience using generative AI tools to enhance analytics and decision-making workflows
Excellent communication skills, with the ability to explain technical concepts to non-technical audiences
Strong collaboration skills and a team-first mindset when working across product, engineering, and operations
Detail-oriented problem solver who takes ownership of outcomes, not just analyses
What we offer:
Medical, dental and vision coverage designed to support your wellbeing