Data Science/ML

RESPONSIBILITIES:
Kforce has a client in Minnetonka, MN that is seeking a Data Science/ML.

Summary:
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.

REQUIREMENTS:
* 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

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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