
1 - 10 employees
⚕️ Healthcare Insurance
☁️ SaaS
🧘 Wellness
💰 $2.7M Venture Round on 2022-10
Healthcare Insurance • SaaS • Wellness
Inspiren is a comprehensive solution for managing and optimizing operations in senior living communities. The platform enhances resident care by providing decision-grade data analysis for care planning, staffing optimization, and resident safety. Inspiren uses advanced technology, such as AUGi, to enable proactive care, improve workflow efficiency, and align care plans with resident needs. The technology's capabilities include real-time alerts for incidents and early risk flagging, tracking resident interactions, and monitoring staff effectiveness, thus ensuring high-quality resident care and operational efficiency.
🕒 April 29
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1 - 10 employees
⚕️ Healthcare Insurance
☁️ SaaS
🧘 Wellness
💰 $2.7M Venture Round on 2022-10
Healthcare Insurance • SaaS • Wellness
Inspiren is a comprehensive solution for managing and optimizing operations in senior living communities. The platform enhances resident care by providing decision-grade data analysis for care planning, staffing optimization, and resident safety. Inspiren uses advanced technology, such as AUGi, to enable proactive care, improve workflow efficiency, and align care plans with resident needs. The technology's capabilities include real-time alerts for incidents and early risk flagging, tracking resident interactions, and monitoring staff effectiveness, thus ensuring high-quality resident care and operational efficiency.
• Build models and statistical analyses that surface insights about outcomes and performance across Inspiren’s systems • Design and run rigorous evaluations: offline and online experiments (A/B, shadow deploys, etc.) for new models and product changes • Identify, evaluate, and integrate new datasets that expand what we can learn and measure • Lead root-cause investigations when models or systems underperform in the field • Incorporate AI into data science workflows, using LLMs and agentic tooling • Reason how to incorporate multiple modalities and sensor data into algorithmic development and performance measurement
• 5+ years of experience in data science, with a focus on statistical modeling and ML systems • Strong modeling and statistical foundations • Experience partnering with ML engineering teams • Fluency with a modern data science stack: Python, Pandas, PyTorch, Databricks, MLflow, or similar tools • Hands-on experience using AI tools (LLMs, coding copilots, agentic workflows) • Strong data instincts and pragmatic bias toward solutions for real-world conditions • Collaborative mindset with diverse teams • Ability to scope, prioritize, and deliver work independently • Excitement about working at an early-stage startup
• Medical, dental, and vision insurance • Flexible PTO
Apply Now🕒 April 29
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