[Hiring] Senior Data Scientist, AI @Ensemble Health Partners

Role Description

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 modeling. 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 specifications.
• Collaborate with software engineers and developers to deliver solutions.
• Learn new tools and technologies quickly, supported by in-depth ML/AI knowledge and basic programming and scripting skills.
• Have practical experience in the design, development, management, and maintenance of systems and handling of large datasets.
• Have hands-on experience with common machine learning and AI frameworks.
• Possess a good knowledge of AI and machine learning fundamentals.

Qualifications

• 3+ years experience working in a data scientist capacity.
• PhD or MSc in Computer Science/Machine Learning/AI, or related work experience.
• 3+ years’ experience with Machine Learning ecosystem tools, including PyTorch/TensorFlow, scikit-learn, xgboost or equivalents.
• Proficiency in statistical techniques and tools.
• Strong programming skills (e.g., Python, R, or SQL).
• Ability to create meaningful visualizations.
• Experience working with and evaluating LLM-based pipelines.
• Familiarity with langchain/llamaindex/haystack/Azure AI studio, vector databases and retrieval techniques.
• Proficiency in accessing and handling databases via SQL, Azure Data Factory or similar.
• Familiarity with data storage/management systems or Big Data frameworks (like Hadoop, Spark).
• Proficiency in Software Development best practices such as Continuous Integration, Unit/Integration Testing, Code Reviews.
• Understanding of MLOps fundamentals.
• Knowledge of Revenue Cycle Management, Collections, or financial industries is desirable but not necessary.
• Excellent communication skills, both written and verbal.

Requirements

• Ability to travel as needed.
• Must be inquisitive and demonstrate openness to innovation including AI.
• This is a remote position; however, candidates must be willing and able to travel to and work onsite at client, temporary, or corporate office locations as business needs require.

Benefits

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