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# Senior Data Scientist

- **Company:** Vizient, Inc.
- **Location:** Irving, TX, 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:** October 30, 2026
- **Apply:** https://www.adzuna.com/details/5850983717

## 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.