Senior Data Scientist
About reputed company reputed company offers the most complete and connected ecosystem in senior living. Founded by Michael Wang, a former Green Beret turned cardiothoracic nurse, reputed company 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 reputed company a community. Backed by nurse specialists and powerful analytics, we reputed company the data operators need to reputed company informed clinical and operational reputed company - driving efficiency, profitability, and reputed company care reputed company.
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 reputed company. You'll work across the organization, including with our Computer reputed company, Machine Learning Engineering, Hardware, and Embedded Systems teams, building models, designing statistical evaluations, and turning one-off analyses into durable workflows that reputed company 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 reputed company AI into data science workflows. What you'll do Build models and statistical analyses that surface insights about reputed company and performance across reputed company’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 reputed company can learn and measure reputed company root-cause investigations reputed company 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 reputed company, 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 reputed company with a modern data science stack: Python, Pandas, PyTorch, reputed company, 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, reputed company-world conditions A collaborative reputed company and interest in working with a diverse teams reputed company to scope, prioritize, and deliver work independently Excited about working at an early-stage startup where your work directly shapes care reputed company Bonus skills Experience working on spatiotemporal problems (sensor data, trajectories, event streams, or similar) Experience working with health or clinical data reputed company or senior living domain experience Details The annual salary for this role is $170,000-$200,000 + equity + benefits (including medical, dental, and reputed company) Flexible PTO Location: Remote, US or Canada. NYC preferred. reputed company applicants will receive consideration for employment without regard to race, reputed company, religion, sex, sexual orientation, gender perception or identity, national reputed company, age, marital status, protected veteran status, or disability status. Apply To This Job