Job Description
About Inspiren
Inspiren offers the most complete and connected ecosystem in senior living. Founded by Michael Wang a former Green Beret turned cardiothoracic nurse Inspiren proves that compassionate care and technology can coexist - bringing peace of mind to residents families and staff.
Our integrated solutions seamlessly fit into existing workflows capturing everything happening within a community. Backed by nurse specialists and powerful analytics we provide the data operators need to make informed clinical and operational decisions - driving efficiency profitability and better care outcomes.
About the Role
We're looking for a Senior Data Scientist to bring rigor modeling depth and a bias toward automation to the data that powers Inspiren. You'll work across the organization including with our Computer Vision Machine Learning Engineering Hardware and Embedded Systems teams building models designing statistical evaluations and turning one-off analyses into durable workflows that keep improving the product. You should be deeply familiar with the end-to-end ML lifecycle comfortable reasoning about both classical statistics and modern ML systems and energized by the opportunity to weave AI into data science workflows.
What you'll do
- 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 and turn findings into concrete recommendations for improvement
- Incorporate AI into data science workflows using LLMs and agentic tooling to accelerate analysis code generation documentation and decision-making and help shape how the team adopts these practices
- Reason how to incorporate multiple modalities and sensor data into algorithmic development and performance measurement
About you
- 5+ years of experience in data science with a focus on statistical modeling and ML systems
- Strong modeling and statistical foundations. You're comfortable choosing the right tool for the problem whether simple heuristics through ML
- Experience partnering with ML engineering teams including familiarity with how production ML systems are evaluated and monitored
- Fluency with a modern data science stack: Python Pandas PyTorch Databricks MLflow or similar tools for working with data and ML at scale
- Hands-on experience using AI tools (LLMs coding copilots agentic workflows) to speed up your own work and curiosity to experiment with AI tools
- Strong data instincts and a pragmatic bias toward solutions that work in messy real-world conditions
- A collaborative mindset and interest in working with a diverse teams
- Able to scope prioritize and deliver work independently
- Excited about working at an early-stage startup where your work directly shapes care outcomes
Bonus skills
- Experience working on spatiotemporal problems (sensor data trajectories event streams or similar)
- Experience working with health or clinical data
- Healthcare or senior living domain experience
Details
- The annual salary for this role is $170000-$200000 + equity + benefits (including medical dental and vision)
- Flexible PTO
- Location: Remote US or Canada. NYC preferred.
- Qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender perception or identity national origin age marital status protected veteran status or disability status.
What We Do
Inspiren offers the most complete and connected ecosystem in senior living. Founded by Michael Wang a former Green Beret turned cardiothoracic nurse Inspiren proves that compassionate care and technology can coexist - bringing peace of mind to residents families and staff.Our integrated solutions seamlessly fit into existing workflows capturing everything happening within a community. Backed by nurse specialists and powerful analytics we provide the data operators need to make informed clinical and operational decisions - driving efficiency profitability and better care outcomes.
Why Work With Us
Customers describe working with us as a partnership not a vendor relationship. We send people on-site to train. We listen to what customers need and put it on the roadmap. That's the culture internally too — high ownership high accountability and genuinely caring about outcomes for residents.
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Inspiren Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
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Date Posted
04/30/2026
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