Inspiren - Senior Data Scientist

• 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 • 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