Description
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
- Are you interested in this position?
Apply by clicking on the “Apply Now” Button below!
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