Lead Data Scientist

Vizient, Inc

Lead Data Scientist at Vizient developing and deploying advanced analytics and machine learning solutions. Guiding data scientists and driving innovation to improve clinical and operational outcomes.

Posted 6/12/2026full-timeIrving • Colorado, Illinois, Montana, Texas • 🇺🇸 United StatesSenior💰 $117,600 - $206,000 per yearWebsite

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Lead the design, development, and implementation of advanced machine learning, generative AI solutions across structured and unstructured data
Build and deploy scalable, automated data science products and reusable analytic assets that support business and client objectives
Analyze large-scale, high-dimensional datasets using modern analytics tools and distributed computing platforms to identify trends, opportunities, and actionable insights
Design and prototype agentic AI workflows leveraging large language models (LLMs), retrieval systems, structured data, APIs, tools, and business rules to automate complex business processes
Translate business requirements into AI agent architectures, including task decomposition, tool orchestration, routing logic, escalation paths, and human approval checkpoints
Optimize retrieval-augmented generation (RAG) solutions through embedding evaluation, metadata design, reranking approaches, citation quality assessment, and knowledge freshness validation
Develop evaluation frameworks for machine learning and AI solutions, including performance, accuracy, reliability, hallucination risk, latency, cost, safety, and consistency measures
Make key analytical and architectural decisions, establish technical standards, and provide leadership on methodology, model selection, solution design, and AI implementation best practices
Lead code reviews, mentor data scientists, and promote best practices in software development, responsible AI, model governance, and analytics delivery
Partner with engineering, platform, and business teams to deploy, monitor, and maintain production-ready analytics and AI solutions
Translate complex analytical findings into clear reports, visualizations, and presentations for technical and non-technical audiences
Collaborate with stakeholders and clients to define analytical approaches that address strategic, operational, and clinical objectives
Evaluate emerging technologies and industry trends to advance organizational analytics and AI capabilities.

Requirements

What you’ll need

Relevant degree preferred
Advanced degree in applied mathematics, statistics, computer science, econometrics, or a related field is a plus
7 or more years of relevant experience required
Demonstrated expertise in data science methodologies, statistical modeling, machine learning, generative AI, agentic AI, and natural language processing required
Strong understanding of large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), and autonomous decision-making frameworks within enterprise AI environments highly preferred
Expertise in programming languages such as Python, R, SQL, SAS, or similar analytical tools
Experience with vector databases, semantic search technologies, knowledge graphs, metadata management, or enterprise search platforms
Experience deploying, monitoring, and maintaining machine learning and AI solutions in production environments
Knowledge of responsible AI principles, model governance, explainability, bias detection, validation methodologies, and ethical use of data
Experience designing and implementing human-in-the-loop workflows that balance automation, governance, risk management, and user oversight
Experience working with cloud-based and distributed data platforms and modern analytics frameworks such as Databricks
Strong analytical, problem-solving, communication, and presentation skills with the ability to convey complex concepts to diverse audiences
Experience leading complex analytics initiatives, providing technical guidance, and mentoring data scientists
Experience working with healthcare data, including clinical, claims, operational, or financial datasets preferred.

Benefits

Comp & perks

Vizient has a comprehensive benefits plan!

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Hard Skills & Tools

machine learninggenerative AIdata science methodologiesstatistical modelingnatural language processingprompt engineeringretrieval-augmented generationprogramming languagesPythonR

Soft Skills

analytical skillsproblem-solvingcommunication skillspresentation skillsleadershipmentoringcollaborationtechnical guidance

Certifications

advanced degree in applied mathematicsadvanced degree in statisticsadvanced degree in computer scienceadvanced degree in econometrics