Senior Data Scientist - AI

February 26

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Ensemble Health Partners

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Ensemble Health Partners is a leading provider of revenue cycle management (RCM) services for healthcare organizations. They offer an end-to-end RCM solution that helps hospitals, health systems, and affiliated physician groups optimize their revenue cycles, reduce denials and underpayments, and enhance patient experiences using a combination of expert management and advanced technology. Ensemble Health Partners leverages certified operators and AI to deliver consistent results, improve collections, and support future growth for healthcare providers. They are recognized for their robust client partnerships and commitment to delivering reliable revenue lift and cost savings for their clients.

Revenue cycle consulting • Revenue cycle assessments • Revenue recovery • Revenue Cycle • EPIC

10,000+ employees

⚕️ Healthcare Insurance

☁️ SaaS

🏢 Enterprise

💰 Private Equity Round on 2022-03

📋 Description

• Responsible for building AI and Machine learning models and pipelines. • Work closely with business and product owners to understand data requirements. • Requires close work with software engineers and developers to deliver solutions. • Learn new tools and technologies fast, with support for ML/AI knowledge. • Practical experience in design, development, management, and maintenance of systems. • Hands-on experience with common machine learning and AI frameworks.

🎯 Requirements

• 3+ years experience working in data scientist capacity. • PhD or MSc in Computer Science/Machine Learning/AI, or related work experience. • 3+ years’ experience with Machine Learning ecosystem tools, including pytorch/tensorflow, scikit-learn, xgboost or equivalents. • Proficiency in statistical techniques and tools. • Knowledge of machine learning algorithms and their applications. • Strong programming skills (e.g., Python, R, or SQL). • Ability to create meaningful visualizations. • Ability to design, implement, test and deploy Machine Learning models. • Experience with evaluating LLM-based pipeline, emphasizing retrieval augmented generation and prompting techniques is a plus. • Familiarity with langchain/llamaindex/haystack/Azure AI studio, vector databases and retrieval techniques is a plus. • Proficiency in accessing and handling databases via SQL, Azure Data Factory or similar. • Familiarity with data storage/management systems or Big Data frameworks. • Proficiency in Software Development best practices such as Continuous Integration, Unit/Integration Testing, Code Reviews. • Understanding of MLOps fundamentals. • Knowledge of Revenue Cycle Management is desirable.

🏖️ Benefits

• Bonus Incentives • Paid Certifications • Tuition Reimbursement • Comprehensive Benefits • Career Advancement