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# Data Scientist

- **Company:** Experis
- **Location:** Chester, NY, United States
- **Experience:** Experienced
- **Salary:** $100,000.0 - $135,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Databases, Data Architecture, Data Visualization, Python (Programming Language), Machine Learning, Oracle Business Intelligence Enterprise Edition, Power BI, SQL Databases, Tableau (Software), Qliksense, Deep Learning, Build Management, Information Technology, Data Analytics
- **Published:** October 20, 2026
- **Apply:** https://www.juju.com/job/1_manpower2-406988

## About the Role

Master's degree preferred. + At least 3 years of hands-on experience as a Data Scientist, with proven expertise in machine learning and statistical analysis. + Strong skills in Python, SQL, and database management. + Experience working with data architectures and visualization tools such as OBIEE or Tableau; additional experience with QlikSense or Power BI is a plus. + Excellent communication skills and the ability to manage multiple projects independently. **What's in it for me?** + Opportunity to work on innovative projects that impact business strategies and customer experiences. + Collaborate with a talented and diverse team of professionals. + Develop your skills in advanced machine learning and data analysis techniques. + Work in a dynamic environment that encourages growth and continuous learning. + Competitive salary package aligned with your expertise and experience.

## Description

The ideal candidate will have analytical thinking, strong communication skills, and a proactive mindset, which will align successfully in the organization. **Job Title:** Data Scientist **Location:** Chester, New York **Pay Range:** $100,000 - $135,000 **What's the Job?** + Collaborate with multidisciplinary teams to analyze large datasets for evaluating and enhancing products, services, and customer programs. + Design, test, and implement data-driven solutions including reporting, auditing, and preparing databases for statistical analysis. + Build and deploy machine learning algorithms to develop predictive models that improve customer experience and business outcomes. + Create visualizations and reports to communicate insights effectively to stakeholders. + Monitor and optimize model performance, ensuring data accuracy and reliability in production environments. **What's Needed?** + Bachelor's Degree in Computer Science, Statistics, Mathematics, Data Science, or a related field