Why This Job is Featured on The SaaS Jobs
This Senior Data Scientist role stands out in the SaaS ecosystem because it sits at the intersection of product analytics and production machine learning, with direct linkage to how a data-rich platform performs in real customer environments. The remit spans evaluation, monitoring, and iterative improvement across computer vision, embedded systems, and ML engineering, which is increasingly common in SaaS companies extending beyond purely software workflows into integrated, sensor-informed products.
For a SaaS career, the long-term value is in building repeatable decision systems rather than one-off modeling work. Experience designing offline and online experiments, running root-cause investigations, and operationalizing analyses into durable pipelines translates well to SaaS organizations that rely on continuous deployment and measurable product outcomes. The emphasis on integrating new datasets and formalizing measurement also develops strong instincts for data quality, instrumentation, and accountability, which are core to scaling ML-enabled SaaS.
This role is best suited to a senior practitioner who prefers end-to-end ownership and cross-functional collaboration, and who is comfortable balancing statistical rigor with pragmatic delivery. It will fit someone motivated by applied ML in messy, real-world settings and interested in shaping how modern AI tooling is incorporated into day-to-day data science practice.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
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 $170,000-$200,000 + 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.
