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INTRODUCTION

When you’re the best, we’re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

SUMMARY

In this role, you will develop and support machine learning and data-driven solutions that address business and operational challenges within enterprise platforms, including Palantir. You will collaborate with cross-functional teams to build scalable AI/ML workflows, contribute to Operational Database (ODB) 2.0 transformation initiatives and Metrics Ontology methodology work, and support the full machine learning lifecycle from data preparation through deployment and monitoring. You will analyze complex datasets, develop production-ready solutions, and apply best practices for data governance, security, and model validation.

Responsibilities:

• Develop, test, and deploy machine learning models to support business and operational use cases.
• Build and maintain data pipelines to ingest, process, and transform structured and unstructured data.
• Perform exploratory data analysis to identify trends, patterns, and data quality issues.
• Write clean, efficient, and maintainable code for data processing and model development.
• Support end-to-end machine learning lifecycle activities, including data preparation, model evaluation, deployment, and performance monitoring.
• Develop workflows and integrate data sources within enterprise platforms, including Palantir.
• Collaborate with data engineers, analysts, and clients to translate business requirements into technical solutions.
• Document code, methodologies, and processes to support reproducibility and compliance standards.
• Apply best practices for data governance, security, and model validation.
• Troubleshoot and improve model and pipeline performance within production environments.

QUALIFICATIONS

• Relevant degree preferred.
• No prior experience required.
• Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or related field required.
• Proficiency in Python and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch highly preferred.
• Working knowledge of SQL and experience with relational databases highly preferred.
• Understanding of machine learning concepts, including regression, classification, clustering, and model evaluation.
• Familiarity with software engineering fundamentals, including version control, testing, and debugging.
• Exposure to cloud or data platforms such as AWS, Azure, or Palantir preferred.
• Strong analytical, problem-solving, written, and verbal communication skills.
• Ability to work collaboratively in a team environment while managing multiple priorities.

ESTIMATED HIRING RANGE:

At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $68,500.00 to $116,300.00. This position is also incentive eligible.

Vizient has a comprehensive benefits plan! Please view our benefits here:

http://www.vizientinc.com/about-us/careers

Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities

The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.