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?

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