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Senior Data Scientist, AI
Ensemble Health Partners
- +2
- +7
- United States
- +2
- +7
- United States
Über
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: Enabling healthcare professionals with technological solutions is key to the future of healthcare, and at Ensemble, we are solving problems in healthcare with AI. Are you passionate about leveraging AI to solve complex problems in healthcare? Do you want to be part of a team that is transforming the industry with cutting-edge technology? Join Ensemble Health Partners to leverage the superpower of AI to solve some of the most complex problems in healthcare. Why Join Us? People First, Last + Always: At Ensemble, we prioritize people over processes, valuing your contributions, supporting your growth and enabling you to make a difference every day. Make a Difference with Purposeful Work: By leveraging cutting-edge AI technology, you will play a vital part in reducing healthcare costs, revolutionizing care delivery and enhancing the patient experience. Innovate Boldly in a Dynamic Environment: Thrive in a dynamic, entrepreneurial culture within an organization that champions creativity and groundbreaking ideas. Shape the Future of Healthcare Across a Robust Client Base: Drive change across a vast client base, empowering healthcare systems at an unprecedented pace. When you innovate here, the ripple effect is enormous. Technology-Driven Innovation: Since 2021, our patented innovations and EIQ has reshaped healthcare through cutting-edge innovation. Job Summary Take on a pivotal role in addressing healthcare's toughest challenges with advanced AI solutions. As a Senior Data Scientist, you'll build AI and Machine learning models and pipelines, with a focus on generative AI, LLMs and predictive modelling. Your work will enable hospitals and health systems to operate more efficiently and deliver better patient outcomes. The successful Senior Data Scientist 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. 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 Desired Education Post Graduate Degree or Equivalent Experience Career Opportunity Offering: Bonus Incentives Paid Certifications Tuition Reimbursement Comprehensive Benefits Career Advancement This position pays between $83,200 - $159,450 based on experience Join an award-winning company Five-time winner of "Best in KLAS" 2020-2022, 2024-2025 Black Book Research's Top Revenue Cycle Management Outsourcing Solution 2021-2024 22 Healthcare Financial Management Association (HFMA) MAP Awards for High Performance in Revenue Cycle 2019-2024 Leader in Everest Group's RCM Operations PEAK Matrix Assessment 2024 Clarivate Healthcare Business Insights (HBI) Revenue Cycle Awards for strong performance 2020, 2022-2023 Energage Top Workplaces USA 2022-2024 Fortune Media Best Workplaces in Healthcare 2024 Monster Top Workplace for Remote Work 2024 Great Place to Work certified 2023-2024 Innovation Work-Life Flexibility Leadership Purpose + Values Bottom line, we believe in empowering people and giving them the tools and resources needed to thrive. A few of those include: Associate Benefits We offer a comprehensive benefits package designed to support the physical, emotional, and financial health of you and your family, including healthcare, time off, retirement, and well-being programs. Our Culture Ensemble is a place where associates can do their best work and be their best selves. We put people first, last and always. Our culture is rooted in collaboration, growth, and innovation. Growth We invest in your professional development. Each associate will earn a professional certification relevant to their field and can obtain tuition reimbursement. Recognition We offer quarterly and annual incentive programs for all employees who go beyond and keep raising the bar for themselves and the company. Ensemble Health Partners is an equal employment opportunity employer. It is our policy not to discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender, gender identity, religion, national origin, age, disability, military or veteran status, genetic information or any other basis protected by applicable federal, state, or local laws. Ensemble Health Partners also prohibits harassment of applicants or employees based on any of these protected categories. Ensemble Health Partners provides reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law. If you require accommodation in the application process, please contact TA@ensemblehp.com. This posting addresses state specific requirements to provide pay transparency. Compensation decisions consider many job-related factors, including but not
Wünschenswerte Fähigkeiten
- Deep Learning
- Machine Learning
- PyTorch
- Scikit-learn
- TensorFlow
- XGBoost
- Prompt Engineering
Berufserfahrung
- Machine Learning
- Data Scientist
Sprachkenntnisse
- English
Hinweis für Nutzer
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