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# Data Scientist - Level 3 #26-23447

- **Company:** US Tech Solutions, Inc.
- **Location:** Saint Paul, MN, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Big Data, Code Review, Database Queries, Python (Programming Language), Machine Learning, Cloud Services, Claude Code, Model Validation, AI Coding Agents, Git, Machine Learning Operations, Software Version Control
- **Published:** November 7, 2026
- **Apply:** https://www.thejobnetwork.com/job/a58a9bbf-1a16-4712-8458-9a2832317a5d/data-scientist-level-

## About the Role

* Bachelor's or Master's degree in a quantitative field
 * 6-10 years of professional data science experience
 * Strong proficiency in Python or R, including building production-ready analytics workflows
 * Familiarity with version control (Git)
 * Strong SQL skills and experience working with large-scale datasets
 * Experience deploying models into production environments
 * Solid understanding of statistical inference, ML algorithms, and experimentation design

Skills:

 * Independent problem-solving
 * Stakeholder management
 * Technical leadership on projects
 * Business acumen

Education:

 * Bachelor's or Master's degree in a quantitative field, * PhD in a quantitative field
 * Familiarity with MLOps tools and CI/CD pipelines
 * Knowledge of cloud-native data architectures
 * Experience working in regulated or data-sensitive industries
 * Demonstrated ability to leverage AI coding assistants (e.g., Claude Code, Codex) to improve productivity and enhance code review and documentation processes

## Description

The Data Scientist 2 leads moderately complex analytics and machine learning efforts, delivering production-ready solutions and actionable insights. This role is expected to quickly ramp in new environments and independently drive project outcomes., * Design, develop, and deploy predictive and prescriptive models

 * Lead end-to-end analytics projects from problem framing to production
 * Engineer features and optimize model performance
 * Communicate insights and recommendations to technical and non-technical stakeholders
 * Implement model validation, testing, and monitoring frameworks
 * Mentor junior data scientists
 * Collaborate with engineering teams to productionize solutions
 * Provide technical leadership on modeling approaches and best practices within assigned initiatives