Data Scientist

ManpowerGroup Global, Inc.

Town of Chester (NY)

On-site

USD 100,000 - 135,000

Full time

14 days+
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Job summary

ManpowerGroup Global, Inc. in Chester, NY is seeking a Data Scientist to join the Data Analytics Department supporting marketing, sales and leadership teams. The ideal candidate will apply analytical thinking and strong communication to drive data‑driven decisions.

Responsibilities include building ML models, designing data pipelines and visualizations using Python, SQL and BI tools. Requires 3+ years of experience, a Bachelor's in a related field (Master's preferred), and the ability to manage

Qualifications

  • Bachelor's degree in a related field; Master’s degree preferred.
  • At least 3 years of hands-on experience as a Data Scientist with expertise in machine learning and statistics.
  • Strong skills in Python, SQL, and database management.
  • Experience with data architectures and visualization tools such as OBIEE or Tableau; Power BI is a plus.
  • Excellent communication skills and the ability to manage multiple projects independently.

Responsibilities

  • 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.

Skills

Python
SQL
Machine learning
Statistical analysis
Data visualization
Communication skills

Education

Bachelor’s degree in CS/Statistics/Math/Data Science
Master’s degree preferred

Tools

OBIEE
Tableau
Power BI
QlikSense

Job description

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.
What's Needed?
  • 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 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.
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