Data Scientist
Job in
Town of Chester, Orange County, New York, USA
Listed on 2026-10-27
Listing for:
ManpowerGroup Global, Inc.
Full Time
position Listed on 2026-10-27
Job specializations:
-
IT/Tech
Data Scientist, Data Analyst, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Our client, a leading organization in the media and advertising industry, is seeking a Data Scientist to join their team. As a Data Scientist, you will be part of the Data Analytics Department supporting marketing, sales, and leadership teams. 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.
- Bachelor’s Degree in Computer Science, Statistics, Mathematics, Data Science, or a related field;
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 Qlik Sense or Power BI is a plus.
- Excellent communication skills and the ability to manage multiple projects independently.
- 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.
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