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# Data Science/ML

- **Company:** Kforce Inc.
- **Location:** Minnetonka, MN, United States
- **Experience:** Experienced
- **Contract:** Contract
- **Skills:** Data Analysis, Cluster Analysis, Collaborative Software, Continuous Integration, Information Engineering, Database Queries, Monitoring of Systems, Python (Programming Language), Machine Learning, Pattern Recognition, SAS (Software), Software Engineering, Information Technology, Software Version Control, Programming Languages
- **Published:** November 4, 2026
- **Apply:** https://www.dice.com/job-detail/cfe0f0de-6015-47f0-a9ab-fb6311f7bc34

## About the Role

* Bachelor's degree or equivalent experience in Data Science, Statistics, Computer Science, Engineering, Applied Mathematics, or a related quantitative field
 * 3+ years of professional experience beyond degree in data science, machine learning, advanced analytics, statistical modeling, or a related technical discipline
 * Experience developing machine learning or statistical solutions for complex, real-world business problems
 * Experience with techniques applicable to anomaly detection, pattern recognition, classification, clustering, time-series analysis, or predictive modeling
 * Proficiency in at least one programming language commonly used for data science and machine learning, such as Python, R, or SAS
 * Strong SQL skills and experience working with large relational or analytical data platforms
 * Experience using source control and collaborative software development practices
 * Experience developing reusable, maintainable analytical code rather than exclusively notebook-based or ad hoc analyses
 * Ability to communicate technical concepts, analytical findings, system behavior, and model limitations to both technical and non-technical stakeholders

## Description

Kforce has a client in Minnetonka, MN that is seeking a Data Science/ML., As a Data Scientist II, you will design, develop, and operationalize advanced analytics and machine learning solutions focused on anomaly detection, pattern recognition, predictive modeling, and intelligent monitoring systems. You will work across large, complex datasets to identify meaningful patterns, emerging signals, behavioral shifts, and unusual activity that can inform enterprise decisions and improve operational processes.

This role also plays an important part in moving data science solutions from experimentation into production. You will collaborate with data engineering, software engineering, architecture, and business teams to build reliable CI/CD workflows, automated model pipelines, and integrations between analytical solutions and enterprise technology platforms.