Staff Data Scientist

New Today

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 -guide every decision we make and how we build. At Radix, data is our superpower-and our Data Science team is unlocking its full potential through models that drive real-world outcomes. We're hiring a Staff Data Scientist to help us build, deploy, and scale advanced AI/ML models across our platform. This is a high-impact role for someone who brings technical depth, strong problem-solving skills, and a passion for delivering results through data. This role can be based onsite in our Scottsdale, AZ office or remotely from Texas.
Your Impact As our Staff Data Scientist, you'll work on high-priority projects that power intelligent decision-making across the Radix platform. You'll partner with cross-functional teams to solve deep domain problems, operationalize machine learning workflows, and shape how we use AI/ML to deliver value to our customers. You'll be hands-on with modeling, experimentation, and getting models into production-while also helping refine our data science frameworks, tools, and standards to support scalable growth.
Key Outcomes Model Development: Build and deploy high-impact models that drive business outcomes across core workflows ML Pipelines: Develop repeatable, production-ready workflows that support scalability, performance, and reliability Strategic Alignment: Ensure data science efforts are tightly aligned with product priorities and company objectives Cross-Functional Collaboration: Partner with Product, Engineering, and Analytics teams to bring data-driven solutions to life Process Maturity: Continuously evolve data science practices, tools, and standards to support long-term scalability and quality
Key Responsibilities Design, train, and deploy models for forecasting, classification, and generative tasks Apply advanced techniques in deep learning, NLP, optimization, and time series analysis Translate business needs into analytical questions and develop solutions that scale Develop and maintain robust workflows for data preparation and model monitoring Collaborate with engineering on model deployment and integration Contribute to evolving our internal best practices and modeling standards Support experimentation and rapid prototyping of new data science ideas
What You Bring Experience 5–8 years of applied data science experience, ideally in a SaaS or technology environment Proven success designing and deploying machine learning models in production Expertise in Python and its data science ecosystem (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas) Strong foundation in statistical modeling, deep learning, and algorithm development Familiarity with SQL and data pipeline tools Ability to collaborate with technical and non-technical stakeholders
Skills Deep curiosity and problem-solving mindset Strong written and verbal communication skills Ability to work independently and manage multiple priorities Solid documentation and project ownership capabilities Preferred Advanced degree in Machine Learning, Statistics, Computer Science, or related field Experience with transformer architectures, reinforcement learning, or generative models Familiarity with multifamily housing, proptech, or asset-driven industries Experience with large-scale or heterogeneous datasets
How You Work Curiosity – You ask thoughtful questions and explore solutions from all angles Resilience – You stay focused when faced with complex data and ambiguity Impact – You prioritize meaningful problems and measurable outcomes Courage – You take initiative, challenge assumptions, and think boldly Responsibility – You own your work and follow through with integrity
Why Radix We believe exceptional people build exceptional companies. At Radix, you'll have the opportunity to solve meaningful problems, collaborate with smart and supportive teammates, and shape the future of a data-driven platform that's raising the standard in multifamily. We don't micromanage-we trust you to build with purpose, learn with speed, and help us make every move our next best one.
Job Posted by ApplicantPro
Location:
Scottsdale
Category:
Technology

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