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Company

Original Job Post

Ensemble Health Partners · 6 days ago

Senior Engineer, Data Scientist

United States

Full-time

Remote

Senior Level

3+ years exp

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Responsibilities

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.

Correlation Analysis: Identifying actionable insights by correlating similar data points

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

Qualification

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Machine learningStatistical analysisProgrammingData visualizationDatabase handlingSoftware developmentMlops fundamentalsProblem-solvingCommunicationTeamwork LLM-enabled tech stackVector databasesRetrieval techniquesAzure AI StudioRevenue Cycle ManagementCollectionsFinancial industries

Required

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 working in data scientist capacity

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

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

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

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