> Markdown version of [/jobs/ext/2152448-lead-data-scientist](https://www.wearedevelopers.com/jobs/ext/2152448-lead-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Data Scientist - **Company:** Vizient, Inc. - **Location:** Englewood, CO, United States - **Experience:** Expert - **Salary:** $117,600.0 - $206,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Automated Storage and Retrieval Systems, Cloud Computing, Data Discovery, Distributed Data Store, R (Programming Language), Graph Database, Apache Hadoop, Python (Programming Language), MATLAB, Machine Learning, Meta-Data Management, Natural Language Processing, Performance Tuning, SAS (Software), Search Technologies, Software Engineering, SQL Databases, Unstructured Data, Enterprise Search, Feature Engineering, Retrieval-Augmented Generation, Large Language Models, Apache Spark, Deep Learning, Generative AI, Build Management, Information Technology, Low Latency, Virtual Agents, Data Pipelines, Unsupervised Learning, Databricks, Programming Languages - **Published:** August 20, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18010684?backUrl=%2Fcareer%2F18010684%2FLead-Data-Scientist-Colorado-Centennial ## About the Role * 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 statistical modeling, machine learning, natural language processing, generative AI, and advanced data science methodologies. * Experience with agentic AI concepts and environments, including LLM-based workflows, tool orchestration, retrieval-augmented generation, autonomous workflows, or human-in-the-loop patterns. * Expertise in programming languages such as Python, R, SQL, SAS, Java, MATLAB, or similar tools. * Experience with cloud-based and distributed data platforms and frameworks such as Databricks, Apache Spark, Hadoop, or similar technologies. * Experience with vector databases, semantic search, knowledge graphs, metadata management, or enterprise search technologies. * Experience deploying and maintaining machine learning and AI solutions in production environments using strong software engineering and development practices. * Knowledge of responsible AI, model governance, explainability, bias assessment, validation methodologies, and human oversight practices. * Strong analytical, problem-solving, communication, and presentation skills with the ability to translate complex technical concepts for diverse audiences. * Experience leading complex analytics initiatives, making technical decisions, and mentoring or providing technical guidance to data scientists. * Experience working with healthcare data, including clinical, claims, operational, or financial datasets preferred. ## Description * Lead the design, development, and implementation of advanced machine learning, generative AI, agentic AI, natural language processing, statistical modeling, and unsupervised learning solutions across structured and unstructured data. * Design agentic AI workflows using large language models, retrieval systems, structured data, APIs, tools, and business rules, including orchestration, routing, escalation, and human approval patterns. * Build and deploy scalable, automated data science products and reusable analytic assets across multiple projects, domains, and client use cases. * Apply deep expertise across end-to-end data science workflows, including data discovery, preparation, feature engineering, modeling, validation, and insight delivery. * Design and optimize retrieval-augmented generation solutions and evaluation frameworks to assess AI performance, accuracy, reliability, safety, latency, cost, and consistency. * Make key analytical and architectural decisions, establish technical standards, and maintain ownership of solution design and outcomes aligned with strategic business objectives. * Lead code development and reviews, establish best practices, and mentor data scientists in advanced modeling, software development, and responsible AI. * Partner with engineering and platform teams to deploy, monitor, and manage the lifecycle of production machine learning, generative AI, and agentic AI solutions. * Implement responsible AI and model governance practices, including documentation, explainability, bias assessment, validation, risk management, and human-in-the-loop controls. * Translate complex analytical findings into actionable insights and communicate results effectively to technical and non-technical audiences. * Collaborate with cross-functional teams and clients to integrate advanced analytics and AI solutions into products, workflows, and business processes. * Evaluate emerging AI technologies, frameworks, and analytical approaches to advance organizational capabilities and improve data science practices. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Leveraging Large Language Models for Legacy Code Translation: Challenges and Solutions](https://www.wearedevelopers.com/videos/1157-leveraging-large-language-models-for-legacy-code-translation-challenges-and-solutions) - [Swapping Low Latency Data Storage Under High Load](https://www.wearedevelopers.com/videos/746-swapping-low-latency-data-storage-under-high-load) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)