Staff Data Scientist

About Radix

Radix is a fast-growing SaaS company serving the multifamily industry with actionable data and insights. Our values-Curiosity, Resilience, Impact, Courage, and Responsibility-are at the heart of how we operate and grow. At Radix, building products isn't just about adding features-it's about delivering transformative insights that empower the multifamily industry. As a Staff Data Scientist, you will embody these values while leading the development of our most valuable intellectual property: our data, advanced AI/ML models, and analytics-driven outcomes.

How You Will Impact

• Strategically Shape Solutions: Maintain a comprehensive understanding of Radix's evolving ecosystem and its role in addressing complex industry challenges, demonstrating the courage to explore innovative paths and solve difficult problems.

• Develop Cutting-Edge Models: Train state-of-the-art generative models to address deep domain-specific problems, embracing resiliency as you tackle novel challenges.

• Mature Data Science Practices: Design, formalize, and implement a best-in-class data science framework, leveraging both existing and new data assets to deliver measurable impact.

• Drive Innovation: Apply expertise in statistics, ETL, business intelligence, and AI/ML to create innovative solutions that drive business value.

• Operationalize AI/ML Workflows: Establish scalable, repeatable feedback loops to train and test AI/ML models with operational excellence.

• Shape Analytics Strategy: Continuously refine Radix's analytics strategy and roadmap, aligning with evolving business needs.

• Guide Data Acquisition: Define a forward-looking data acquisition strategy to extract value from diverse data sources and formats.

• Advance Data Preparation: Lead efforts in data extraction, cleaning, and preparation for both structured and unstructured datasets, demonstrating resiliency in overcoming data challenges.

What You Bring

Essential Qualifications

• Proven ability to map complex business problems to data-driven solutions with measurable impact.

• Advanced proficiency in Python and its data science/AI libraries (e.g., TensorFlow, PyTorch, Pandas, Scikit-learn).

• 3-8 years of applied AI/ML experience, including work with forecasting models, classification systems, and transformer-based architectures.

• Expertise in optimization techniques, including statistical methods, deep learning, and reinforcement learning.

• Hands-on experience with tools like R, Python, SQL, and optimization platforms like CPLEX or Gurobi.

• Demonstrated success in innovative product development and deployment.

• Strong collaboration skills to work cross-functionally with business stakeholders and technical teams.

Preferred Qualifications

• Advanced degree in Machine Learning, Applied Statistics, Operations Research, or a related field.

• Industry knowledge of multifamily housing or similar asset-heavy, utilization-driven business models.

• Proficiency in leveraging heterogeneous data sources to solve real-world challenges.

• Exceptional communication skills, with the ability to articulate complex technical ideas to diverse audiences.

• A track record of thriving in fast-paced, dynamic environments while maintaining high organizational standards.

Personal Attributes

• Curiosity: An inquisitive mindset that drives exploration and innovation.

• Resilience: The ability to navigate uncertainty and lead teams through challenges.

• Impact-Focused: A results-driven approach that prioritizes outcomes over outputs.

• Courage: