Remote Data Science Manager IGI Lead

Ipsos

Amsterdam

Ibrido

EUR 90.000 - 150.000

Tempo pieno

7 giorni fa
Candidati tra i primi

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Laptop provided

Descrizione del lavoro

Ipsos is seeking an experienced Data Science Manager for the IGI team in Amsterdam. The role focuses on leading the data team, developing production-grade data science systems, and delivering advanced analyses for media research projects.

You will work with R, Python, SQL and Google Cloud Platform to manipulate data, build models, and provide clear insights to researchers and clients. A strong emphasis on communication, collaboration, and innovation is required.

Competenze

  • Academic working and thinking level.
  • Able to convey complex problems with simple words.
  • Great communication skills.
  • Proactive with attention to detail.
  • Flexible and deadlines driven.
  • Team player with results focus.
  • Pragmatic, precise and creative.
  • Good command of English; global team collaboration.

Mansioni

  • Managing the data people in close collaboration with the Service Line lead.
  • Developing and maintaining production quality data science systems.
  • Manipulating complex data from different sources in Python, R, SQL and GCP.
  • Performing complex statistical analyses and prediction models for media research.
  • Support to the researchers in the team.
  • Performing checks on results before delivery to the research team.
  • Clear visualization and communication of results to internal/external customers.
  • Contributing to renewal and improvement of existing structures and processes.

Conoscenze

Management skills
Python
R
Git
GCP
Data science
Communication
Team leadership

Strumenti

Git
GCP

Descrizione del lavoro

Ipsos is seeking an experienced Data Science Manager for the IGI team in Amsterdam. The role focuses on leading the data team, developing production-grade data science systems, and delivering advanced analyses for media research projects.

You will work with R, Python, SQL and Google Cloud Platform to manipulate data, build models, and provide clear insights to researchers and clients. A strong emphasis on communication, collaboration, and innovation is required.

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