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Role Responsibilities:
- Develop models and analyses to provide insights on system performance and outcomes.
- Conduct offline and online experiments, such as A/B tests, to evaluate new models and product changes.
- Integrate new datasets to enhance measurement capabilities and lead investigations into model underperformance.
Required Qualifications:
- 5+ years of experience in data science with a focus on statistical modeling and ML systems.
- Proficiency in Python, Pandas, PyTorch, and tools like Databricks and MLflow for scalable data work.
- Experience partnering with ML engineering teams and familiarity with production ML system evaluation.
Additional Details:
- The role involves using AI tools like LLMs to accelerate analysis and code generation.
- Candidates should have strong data instincts and a pragmatic approach to real-world problem-solving.
- This position is remote in the US or Canada, with a preference for NYC, and includes competitive salary and benefits.
Inspiren
Inspiren offers a connected technology ecosystem for senior living communities to improve care and operational decisions. It is an early-stage startup founded by a former Green Beret turned nurse, focusing on compassionate care integrated with powerful analytics.