Senior Data Science Leader
7 days ago
Radix is a pioneering data and intelligence platform, empowering leading operators and financial institutions to make informed decisions in the multifamily asset space. We're seeking an exceptional Senior Data Science Leader to drive innovation, lead a talented team, and help shape the future of our AI/ML capabilities.
About the Role- Maintain a comprehensive understanding of Radix's evolving ecosystem and its role in addressing complex industry challenges.
- Guide and mentor a high-performing team of data scientists, fostering a culture of curiosity and collaboration to amplify their collective impact.
- Develop cutting-edge models to address deep domain-specific problems, embracing resiliency as you tackle novel challenges.
As a key leader, you'll have the opportunity to directly influence strategic decision-making and shape the future of our industry-leading platform. Our principles of courage, curiosity, impact, responsibility, and resiliency guide everything we do, ensuring you'll be part of a culture that values growth, innovation, and meaningful contributions.
Your Impact- Elevate Team Performance: Guide and mentor a high-performing team of data scientists, fostering a culture of curiosity and collaboration to amplify their collective impact.
- Develop Cutting-Edge Models: Train state-of-the-art generative models to address deep domain-specific problems, embracing resiliency as you tackle novel challenges.
- Drive Innovation: Apply expertise in statistics, ETL, business intelligence, and AI/ML to create innovative solutions that drive business value.
The ideal candidate will bring a strong background in AI/ML, excellent leadership skills, and a passion for driving innovation. You'll be part of a dynamic team that thrives on solving complex problems and pushing the boundaries of what's possible.
Key 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).
- 5-10 years of applied AI/ML experience, including work with forecasting models, classification systems, and transformer-based architectures.
We offer a competitive salary range of $180,000 - $250,000 per year, depending on experience, and a comprehensive benefits package, including health insurance, retirement plan, and paid time off.
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