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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - **Company:** Vizient, Inc. - **Location:** Englewood, CO, United States - **Experience:** Expert - **Salary:** $102,400.0 - $179,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Business Analytics Applications, Big Data, Cloud Computing, Computer Programming, Data Cleansing, Data Discovery, Data Integration, Programming Tools, Distributed Data Store, Distributed Systems, R (Programming Language), Apache Hadoop, Python (Programming Language), MATLAB, Machine Learning, Natural Language Processing, SAS (Software), SQL Databases, Tableau (Software), Unstructured Data, Feature Engineering, Retrieval-Augmented Generation, Large Language Models, Apache Spark, Deep Learning, Generative AI, Build Management, Data Analytics, Data Pipelines, Unsupervised Learning, Databricks - **Published:** August 20, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18010679?backUrl=%2Fcareer%2F18010679%2FSenior-Data-Scientist-Colorado-Centennial ## About the Role * Relevant degree preferred. * 5 or more years of relevant experience required. * Experience with agentic AI concepts and environments, including LLM-based workflows, tool orchestration, retrieval-augmented generation, autonomous workflows, or human-in-the-loop patterns. * Experience with statistical modeling, predictive analytics, machine learning, natural language processing, generative AI, and advanced data science methodologies. * Proficiency in programming and analytical tools such as Python, R, SQL, SAS, MATLAB, Java, or similar technologies. * Experience with end-to-end data science workflows, including data preparation, feature engineering, model development, validation, deployment, and visualization. * Experience working with large, complex datasets and integrating data from disparate sources. * Experience with cloud-based and distributed data platforms and analytics frameworks such as Databricks, Apache Spark, Hadoop, Tableau, or similar technologies. * Experience developing and deploying machine learning, generative AI, or advanced analytics solutions in production environments. * Knowledge of responsible AI, model governance, explainability, bias assessment, and validation practices. * Strong analytical, problem-solving, communication, and collaboration skills with the ability to convey complex concepts to technical and non-technical clients. ## Description * Develop and implement advanced machine learning, generative AI, natural language processing, statistical modeling, and unsupervised learning approaches across structured and unstructured data. * Build and deploy scalable, automated data science products and reusable analytic assets across multiple projects and domains. * Analyze large-scale, high-dimensional datasets using modern programming tools and distributed computing platforms to identify trends and actionable insights. * Apply expertise across end-to-end data science workflows, including data discovery, structuring, cleaning, enrichment, feature engineering, modeling, validation, deployment, and insight delivery. * Make autonomous analytical and modeling decisions based on project goals, including approach selection, exploratory analysis, model development, and visualization. * Translate complex analytical findings into clear insights, dashboards, reports, and presentations for technical and non-technical audiences. * Develop and review technical code, apply data science and software development best practices, and provide guidance to other data scientists. * Partner with engineering and platform teams to deploy, monitor, and maintain machine learning, generative AI, and other advanced analytics solutions. * Apply responsible AI and model governance practices, including documentation, explainability, bias assessment, testing, and validation. * Evaluate emerging analytical and AI technologies and collaborate with cross-functional teams to integrate solutions into products, workflows, and business processes. ## Related Videos - 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