Data Scientist - NJ

ManpowerGroup - Woodbridge Township, NJ

Full-time - Mid Level

Woodbridge Township, NJ

Administrative and Support Services

About the position

The Data Scientist position at Experis involves joining the Analytics Department to support Data Insights and Strategy Teams. The role requires strong technical skills in SQL, Python, and machine learning, along with the ability to communicate complex data insights effectively to both technical and non-technical stakeholders. The Data Scientist will perform data analysis, design data loading routines, apply statistical modeling techniques, and develop data visualizations to drive business decisions.

Responsibilities

• Perform data analysis, extraction, and manipulation using SQL and Teradata.
• Design and implement data loading routines and work with complex database structures and data warehouses.
• Apply statistical modeling techniques such as regression, decision trees, random forests, clustering, and segmentation to drive business decisions.
• Develop data visualizations using PowerBI and other tools to communicate insights and trends to both technical and non-technical teams.
• Build strategic analytics models using techniques like customer profiling, business segmentation, RFM analysis, and inferential statistics to support key business objectives.

Requirements

• 5+ years of experience working with SQL, data extraction, and manipulation in large-scale environments (e.g., Teradata, Data Warehouses).
• Strong proficiency in Python and Python libraries to support data analysis, model building, and automation.
• Demonstrated experience with statistical modeling and machine learning techniques (e.g., segmentation, regression, decision trees, forecasting).
• Proficiency with PowerBI for developing data visualizations and dashboards to deliver actionable insights.
• Solid communication skills to effectively convey complex technical concepts and data findings to business partners, marketing teams, and non-technical stakeholders.

Benefits

• Opportunity to work with cutting-edge technologies in data science and machine learning.
• Collaborative and dynamic team environment with a focus on innovation and continuous learning.
• Exposure to strategic decision-making processes and the ability to influence key business outcomes.
• Opportunity to grow your career in a forward-thinking company that values professional development and mentorship.