99 applicants

Company

Ensemble Health Partners · 6 hours ago

Data Scientist

United States

Full-time

Remote

Mid, Senior Level

3+ years exp

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Responsibilities

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

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

AIMachine LearningGenerative AILarge Language Models (LLMs)Machine Learning frameworksPythonStatistical AnalysisData VisualizationSQLMLOps fundamentalsHadoopSparkContinuous IntegrationUnit TestingCode ReviewsRevenue Cycle Management

Required

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.

Familiarity with langchain/llamaindex/haystack/Azure AI studio, vector databases and retrieval techniques, or equivalent common tools in the emerging LLM-enabled tech stack.

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.

Ability to work both independently and in a team-based, fast-paced environment.

Excellent communication skills, both written and verbal.

Preferred

Knowledge of Revenue Cycle Management, Collections, or financial industries is desirable but not necessary.

5 to 7 Years

Post Graduate Degree or Equivalent Experience

Benefits

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

Invest in your professional development

Each associate will earn a professional certification relevant to their field

Tuition reimbursement

Quarterly and annual incentive programs for all employees who go beyond and keep raising the bar for themselves and the company