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python pandas machine learning dbt airflow📋 Description
- Technical leadership and hands-on ML work (~50%)
- Design, build, and refine ML models using claims, EMR, and data
- Own architecture for Predict data pipelines at scale
- Establish ML Ops: versioning, monitoring, retraining
- Analyze model performance, ROI, and client impact
- Collaborate with Sword’s Data team to align with platform
🎯 Requirements
- 5-7 years in data science or ML engineering
- 2+ years managing technical teams
- Expertise in healthcare data: claims, EMR
- Strong ML foundation: gradient boosting, RF, logistic regression
- Python and pandas proficiency; scikit-learn
- Production data pipelines: Airflow, dbt, Spark
- ML Ops: deployment, monitoring, versioning
- Based in the United States with work eligibility without sponsorship
🎁 Benefits
- Comprehensive health, dental and vision insurance
- Life and AD&D insurance
- 401(k) and equity options
- Flexible working hours; remote-first company
- Discretionary PTO and paid holidays
- Free digital therapist for you and your family
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