Data Scientist

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Join Ensemble Health Partners: Career Opportunity as a Senior Data Scientist

Thank you for considering a career at Ensemble Health Partners, a leading provider of technology-enabled revenue cycle management solutions for healthcare systems, including hospitals and affiliated physician groups. We offer end-to-end revenue cycle solutions, along with a comprehensive suite of point solutions, to clients across the nation.

About Ensemble Health Partners

Ensemble Health Partners is dedicated to keeping communities and hospitals healthy. We recognize that healthcare requires a human touch, and we believe that every interaction should be meaningful. Our team is our most valuable asset, empowered to challenge the status quo and make a significant impact.

The Opportunity: Senior Data Scientist

The Senior Data Scientist is responsible for building AI and Machine Learning models and pipelines, focusing on generative AI, LLMs, and predictive modeling. This role involves close collaboration with business and product owners to understand data requirements and product specifications, aiding in data-related decisions and product design. Additionally, the position requires working with software engineers to deliver comprehensive solutions.

Key Responsibilities

  • Collecting and analyzing business data or managing new studies to gather relevant data.
  • Transforming data into a suitable format for analysis.
  • Designing experimental frameworks for data collection.
  • Building tools to automate data collection.
  • Exploring large datasets to extract useful information.
  • Creating reports and presentations for business purposes.
  • Identifying actionable insights through correlation analysis.
  • Building, enhancing, and maintaining data models, interfaces, and application integration.
  • Contributing to the strategic direction of AI initiatives within the company.

Preferred Knowledge, Skills, and Abilities

  • 3+ years of experience in a data scientist role.
  • PhD or MSc in Computer Science, Machine Learning, AI, or related work experience in designing, building, and evaluating Machine Learning systems.
  • Experience with Machine Learning tools like PyTorch, TensorFlow, Scikit-learn, XGBoost, or equivalents.
  • Proficiency in statistical techniques and tools.
  • Strong programming skills (e.g., Python, R, SQL).
  • Ability to create meaningful data visualizations.
  • Experience with LLM pipes, retrieval augmented generation, and prompting techniques.
  • Familiarity with tools such as LangChain, LlamaIndex, Haystack, Azure AI Studio, and vector databases.
  • Proficiency in software development best practices.
  • Understanding of MLOps fundamentals.
  • Knowledge of Revenue Cycle Management, Collections, or financial industries is a plus.
  • Excellent communication skills, both written and verbal.

Desired Work Experience

  • 5 to 7 years of relevant experience.

Desired Education

  • Postgraduate Degree or equivalent experience.

Why Join Ensemble Health Partners?

Ensemble Health Partners has been recognized for our commitment to excellence:

  • Three-time winner of “Best in KLAS” (2020-2022)
  • 2022 Top Workplaces Healthcare Industry Award
  • 2022 Top Workplaces USA Award
  • 2022 Top Workplaces Culture Excellence Awards

We believe in empowering people and providing the tools and resources needed to thrive. Our benefits include:

  • Associate Benefits: Comprehensive benefits package covering healthcare, time off, retirement, and well-being programs.
  • Our Culture: We prioritize collaboration, growth, and innovation.
  • Growth: Professional development opportunities, including certifications and tuition reimbursement.
  • Recognition: Quarterly and annual incentive programs for outstanding employees.

Equal Employment Opportunity

Ensemble Health Partners is an equal employment opportunity employer. We do not discriminate against applicants or employees based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military or veteran status, genetic information, or any other