Senior Data Scientist, AI

April 10

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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

• Take on a pivotal role in addressing healthcare’s toughest challenges with advanced AI solutions. • Build AI and Machine learning models and pipelines, with a focus on generative AI, LLMs and predictive modelling. • Enable hospitals and health systems to operate more efficiently and deliver better patient outcomes. • Work closely with business and product owners to understand their data requirements. • Learn new tools and technologies fast, supported by in-depth ML/AI knowledge as well as basic programming and scripting skills.

🎯 Requirements

• 3+ years experience working in data scientist capacity. • PhD or MSc in Computer Science/Machine Learning/AI, or related work experience with the design, building and evaluation of Machine Learning systems. • 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 working with and evaluating LLM-based pipeline, with an emphasis on retrieval augmented generation and prompting techniques is a plus. • Familiarity with langchain/llamaindex/haystack/Azure AI studio, vector databases and retrieval techniques, or equivalent common tools in the emerging LLM-enabled tech stack is a plus. • Proficiency in accessing and handling databases via SQL, Azure Data Factory or similar. • Alternatively, familiarity with data storage/management systems or Big Data frameworks (like Hadoop, Spark) expected to be known or used. • Proficiency in Software Development best practices such as Continuous Integration, Unit/Integration Testing, Code Reviews. • Understanding of MLOps fundamentals, including orchestration tools, cloud compute, and observability tools. • Knowledge of Revenue Cycle Management, Collections, or financial industries is desirable but not necessary. • Ability to work both independently and in a team-based, fast-paced environment. • Excellent communication skills, both written and verbal.

🏖️ Benefits

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