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Ipsos North America

Data Science Manager

Ipsos North America

. Manage data professionals in close collaboration with the Service Line lead .

Posted 9/25/2026full-timeAmsterdam • NetherlandsMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
CloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact
  • Manage data professionals in close collaboration with the Service Line lead
  • Develop and maintain production-quality data science systems
  • Manipulate complex data from different sources using R, Python, SQL, and Google Cloud Platform
  • Perform complex statistical analyses and prediction models for media research
  • Support researchers on the team
  • Check results before delivery to the research team
  • Clearly visualize and communicate results to internal and external customers
  • Contribute to renewing and improving existing structures and processes
  • Support diverse media projects involving passive electronic measurement, TV, print, behavior, and ad-hoc media studies

Requirements

What you’ll need
  • Academic working and thinking level
  • Good command of English
  • Management skills
  • Programming background and experience in Python and R
  • Experience in git with collaborative development of data science workflows / products
  • Statistical background and affinity with regression, segmentation, and data fusion
  • Experience in media research
  • Skilled in learning software packages
  • Experience working in the cloud, especially GCP
  • Experience working with automated production systems
  • Able to convey complex problems with simple words
  • Great communication skills
  • Proactive, detail-oriented, flexible, and able to handle deadlines
  • Team-oriented, pragmatic, precise, and creative

Benefits

Comp & perks
  • An international organization with many opportunities for personal growth and development
  • A close-knit and diverse data team
  • A working environment with room for personal input and fresh ideas
  • A dynamic, open and informal working environment
  • Collaboration with experienced and curious colleagues
  • An introduction program
  • Regular drinks and inspiration sessions
  • A laptop
  • Flexibility to work from home every now and then