Senior Engineer, Data Science

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!

O.N.E Purpose:

• Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations.

• Embracing New Ideas: Continuously innovate by embracing emerging technology and fostering a culture of creativity and experimentation.

• Striving for Excellence: Execute at a high level by demonstrating our “Best in KLAS” Ensemble Difference Principles and consistently delivering outstanding results.

The Opportunity:

By embodying our core purpose of customer obsession, new ideas, and driving innovation, and delivering excellence, you will help ensure that every touchpoint is meaningful and contributes to our mission of redefining the possible in healthcare.

The Senior Engineer, Data Scientist 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.

Essential Job Functions

• Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations.
• Embracing New Ideas: Continuously innovate by embracing emerging technology and fostering a culture of creativity and experimentation.
• Striving for Excellence: Execute at a high level by demonstrating our “Best in KLAS” Ensemble Difference Principles and consistently delivering outstanding results.
• Collecting Data: Data scientists analyze business results or set up and manage new studies to collect relevant data.
• Data Transformation: They convert data into a suitable format for analysis.
• Framework Creation: Data scientists design experimental frameworks to collect data.
• Automating Data Collection: Building tools to automate data collection.
• Data Exploration: Searching through large datasets to extract useful information.
• Reporting and Presentations: Creating reports and presentations for business purposes and will present to Senior Leadership up to the C suite
• Lead and manage data science projects, ensuring timely delivery and high-quality outcomes.
• Develop and implement advanced machine learning models and algorithms to solve complex
• business problems.
• Correlation Analysis: Identifying actionable insights by correlating similar data points
• Mentor and guide junior data scientists, fostering a culture of continuous learning and development.
• Build, enhance and maintain the data models, interfaces and application integration required to support growing and changing business needs. contribute to the strategic direction of AI initiatives within the company

Employment Qualifications

Desired Work Experience

7 to 10 Years

Desired Education

Post Graduate Degree or Equivalent Experience

Other Preferred Knowledge, Skills and Abilities

• 7+ years experience working in data scientist capacity.

• PhD or MSc