Senior Data Scientist

Vizient, Inc

Senior Data Scientist developing AI/ML solutions from complex healthcare data for Vizient. Building production-ready analytics, LLM workflows, and scalable data capabilities.

Posted 9/8/2026full-timeChicago • Colorado, Illinois, Texas • 🇺🇸 United StatesSenior💰 $102,400 - $179,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying advanced AI and machine learning solutions within healthcare, utilizing statistical modeling, natural language processing, and large language models. Proficient in translating complex datasets into actionable insights while effectively communicating findings to diverse audiences.

Highest-signal resume keywords

Python ProficiencyMachine Learning ApplicationNatural Language Processing ExperienceAI/ML Workflow DevelopmentHealthcare Data Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical ModelingPredictive ModelingData AnalysisLarge Language ModelsGenerative AI SolutionsAPI IntegrationData ProcessingModel EvaluationCloud-Based EnvironmentsData Pipeline Development

Soft Skills

Communication SkillsCollaborationProblem Solving

Tools & Technologies

AWSAzurePalantir FoundryEpic ClarityCerner CCL-Discern

Industry Keywords

Healthcare DataClinical WorkflowsRevenue CycleOperational DataElectronic Medical Records

Tech Stack

Tools & technologies

AWSAzureCloudPython

About the role

Key responsibilities & impact

Develop advanced data science, machine learning, and AI solutions using complex healthcare clinical, operational, financial, claims, and electronic medical record data
Conduct exploratory and predictive analyses across large, disparate data sources to identify patterns, generate hypotheses, evaluate performance, and uncover opportunities for improvement
Apply statistical modeling, machine learning, natural language processing, and large language model techniques to solve complex healthcare and business problems
Design, develop, evaluate, and refine LLM-enabled workflows, including retrieval-augmented generation (RAG), prompt optimization, model evaluation, and techniques that improve the accuracy and reliability of AI-generated outputs
Develop AI/ML workflows supporting production applications, analytics products, and data platforms through model orchestration, API integration, data processing, deployment, and optimization
Translate raw clinical, financial, operational, and client data into standardized, enriched, and analytically useful data assets
Integrate LLMs and machine learning models with APIs, data pipelines, enterprise applications, and other technology platforms to move solutions into production
Partner with product, engineering, technology, clinical, and business clients to translate requirements into statistical, machine learning, and AI approaches
Evaluate data quality, model performance, and analytical outputs and troubleshoot issues across data, AI/ML workflows, and production solutions
Communicate analytical approaches, findings, limitations, and recommendations to technical and non-technical audiences and contribute best practices

Requirements

What you’ll need

Relevant degree preferred
5 or more years of relevant experience required
Proficiency in Python required; experience with R, SAS, or other analytical programming languages preferred
Demonstrated experience applying statistical methods, machine learning, and predictive modeling to complex business or healthcare problems
Experience developing or applying large language models, natural language processing, or generative AI solutions, including RAG, model evaluation, hallucination mitigation, or prompt optimization
Experience developing AI/ML solutions that integrate with APIs, data pipelines, enterprise applications, analytics products, or data platforms
Experience developing, deploying, or orchestrating AI/ML solutions within cloud-based environments such as AWS, Azure, Palantir Foundry, or comparable platforms strongly preferred
Demonstrated ability to work with large, complex, and disparate datasets and translate data into scalable analytical solutions
Experience communicating complex analytical concepts and findings to technical, business, and executive audiences and collaborating across engineering, product, technology, clinical, and business teams
Experience with healthcare data, healthcare operations, finance, revenue cycle, clinical workflows, or hospital performance analytics strongly preferred, including exposure to claims, electronic medical record, financial, billing, or operational data and platforms such as Epic Clarity/Caboodle, Cerner CCL-Discern/PowerInsight, or Palantir Foundry

Benefits

Comp & perks

Incentive eligible
Comprehensive benefits plan