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# Data Scientist | AI & ML Analyst

- **Company:** Robert Half
- **Location:** Des Moines, IA, United States
- **Salary:** $80,000.0 - $100,000.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Data Analysis, Information Technology Consulting, Python (Programming Language), Machine Learning, NumPy, Standard Sql, SQL Databases, Pandas, Scikit Learn
- **Published:** October 21, 2026
- **Apply:** https://www.dice.com/job-detail/4013efcd-4dce-42cd-a4df-101459c7d838

## About the Role

Experience in Data Science, Machine Learning, Predictive Analytics, or Advanced Analytics
Strong Python skills, including libraries such as Pandas, NumPy, and Scikit-Learn
Strong SQL and data analysis capabilities
Experience with statistical modeling, forecasting, anomaly detection, or predictive analytics
Ability to communicate insights to both technical and non-technical audiences
Self-directed, collaborative, and intellectually curious, Python, Data Science, Predictive Modeling, Identify Anomalies, Predictive Analytics, Pandas, All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.

## Description

Are you passionate about using data, machine learning, and advanced analytics to solve real-world business challenges?
We're partnering with a successful, established technology consulting organization seeking a Data Scientist | AI & Machine Learning professional to help expand its growing analytics and AI capabilities. This is an opportunity to make a visible impact, influence technical direction, and work on meaningful projects from concept to production.
What You'll Do
Develop and enhance machine learning and predictive analytics models
Improve anomaly detection and forecasting capabilities
Analyze complex data using Python and SQL
Evaluate model performance and recommend improvements
Partner with analysts and stakeholders to solve business problems
Help shape AI/ML methodologies, tools, and best practices