Senior Data Scientist
New
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InspirenSenior Living, Healthcare SaaS
Remote, US or Canada - NYC preferredFull-TimeSenior
Salary170,000 - 200,000 USD per year
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonMachine LearningMLFlowPyTorchPandasDatabricksComputer Vision
Requirements
- 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, 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
Responsibilities
- 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
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