Data Scientist

Thank you for considering a career at Ensemble Health Partners!

Ensemble Health Partners is a leading provider of technology-enabled revenue cycle management solutions for health systems, including hospitals and affiliated physician groups. They offer end-to-end revenue cycle solutions as well as a comprehensive suite of point solutions to clients across the country.

Ensemble keeps communities healthy by keeping hospitals healthy. We recognize that healthcare requires a human touch, and we believe that every touch should be meaningful. This is why our people are the most important part of who we are. By empowering them to challenge the status quo, we know they will be the difference

The Opportunity:

I. Job Summary

The Senior Data Scientist, AI is responsible for building AI and Machine learning models and pipelines, with a focus on generative AI, LLMs and predictive modelling. The successful candidate will work closely with business and product owners to understand their data requirements and product specification in order to help them make data-related decisions and product design choices. The role will also require close work with software engineers and developers to deliver solutions. The job role may also require you to learn new tools and technologies fast, which will be well supported by in-depth ML/AI knowledge as well as basic programming and scripting skills.

You should have practical experience in the design, development, management, and maintenance of systems and handling of large datasets. You should have hands on experience with common machine learning and AI frameworks, and a good knowledge of AI and machine learning fundamentals (deep learning, regression, classification and clustering algorithms), retrieval augmented generation pipelines, as well as a good grasp of the design and evaluation of LLM-supported use cases.

II. Essential Job Functions

• Lead AI strategy by delivering solutions that combine software engineering, statistics, and machine learning effectively for complex clinical applications
• Execute deep, thoughtful, analytical experiments that utilize the most appropriate techniques and lead to substantial incremental improvements
• Deliver excellent reports and presentations to highlight relevant hypothesis and insights that drive decision making within the organization
• Identify, collect, transform and explore data to become the resident expert on available data within the organization
• Coordinate between Engineers and Product Analysts and the broader organization to facilitate seamless collaboration

Other Preferred Knowledge, Skills and Abilities

• 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.

• Statistical Analysis: Proficiency in statistical techniques and tools.

• Machine Learning: Knowledge of machine learning algorithms and their applications.

• Programming: Strong programming skills (e.g., Python, R, or SQL).

• Data Visualization: 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.

Desired Work Experience

5 to 7 Years