Data Science Manager

hace 2 días

Madrid, Madrid, España Havas Media Group Spain Sau A tiempo completo
Job Description

Global Data Science Manager

The Global Data Science Manager is responsible for providing data expertise and technical guidance on data projects for Havas Media Group Spain Sau. This role will work closely with the Global Data Director, Global Data Managers, Global Data Analysts, and IT teams to implement data algorithms and platforms across multiple markets.

Key Responsibilities

  • Lead innovation in data products to test and implement best-in-class technology
  • Support the Product team in collaboration with the IT team to align business requirements with functional and technical specifications
  • Work efficiently to complete projects as a team and with the help of IT to automate processes
  • Provide data expertise and work closely with the Product Directors/Managers, R&D teams, and other Havas technical teams
  • Contribute to the continuous improvement of working practices, application quality, tooling, and agile processes

Requirements

  • Ability to lead a small Data Science team to organize and produce results
  • Ability to organize and coordinate with internal and external IT and business personnel
  • Provides the Data Product team with functional expertise applied to data and solutions around insights, media planning, and activation
  • Brings good sense and expertise to review and align business and data processes with formalization and communication
  • Extract value from this alignment to identify tasks that could be automated and enhance the process to fluidify synergies between applications

Technical Expertise

  • Provides the Data Product team and markets with data expertise in the use of data algorithms (and Python apps with front-end which is a nice to have)
  • Ability to automate and schedule data projects on Databricks/cloud
  • Ability to automate data preparation and exploration before modeling in Python
  • Actively work with the Product & Measurement team to support the use and overlap of ID (3rd party data) and Non-ID (panel) text-based database with algorithms built on Python
  • Actively work with the Product team and contribute to definition, specification, validation, and implementation of user cases using client data

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