DATA SCIENCE MANAGER

Hybrid Agencia.
Havas Media Group Spain Resumen de la Descripción del puesto de trabajo:.
Descripción de Puesto.
The Global Data Science Manager is responsible for providing data and technical expertise on data projects for Havas.
S/He will work with the Global Data Director, Global Data Managers, Global Data Analyst and pool of IT Developers, Data Analysts and Scientists in implementation of data algorithms and platforms across multiple markets S/He will lead innovation in data products to test/learn and implement the best in class technology into innovative products.
Ex.
Generative AI S/He support the Product team in collaboration with the IT team to align business requirements with functional and technical specification with architecture S/He works efficiently to complete projects as a team and with the help of IT to help in automation S/He provides data expertise and works closely with the Product Directors/Managers, R&D teams and other Havas technical teams S/He contributes to the continuous improvement of working practices, application quality, tooling and agile processes Functional Agile to produce multiple POCs, MVPs every quarter to lead innovation in Havas’ data products involving data science and automation Ability to lead a small Data Science team to organize and produce results Ability to organize and co-ordinate 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 around this Extract value from this alignment to identify tasks that could be automated and enhance the process to fluidify synergies between applications Collaboration with various stakeholders including internal Havas teams, markets, tech partners etc.
Ability to communicate complex projects in easy to understand presentations to leadership team or clients Technical & Data 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 incorporate AI into data products Ability to automate data preparation and exploration before modelling 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.
Ex.
prediction of intention to buy, segmentation etc.
Provides functional and technical specification with architecture for project tasks Collaborates with end-users (user interviews) and technical partners in specification of product features Education & Languages                  Master’s degree in Technology/Data Science Fluent in English & Spanish Previous Experience 6+ years relevant professional experience Key Competencies Technical Working with Big Data in GCP/AWS environments Working knowledge in Databricks or Cloud functions Knowledge in technical languages (Python) Knowledge in data science algorithms Knowledge in applied and generative AI with Google or Microsoft Text based NLP models Non Technical Mature interpersonal skills with clarity in written/oral communication Proactive and ability to initiate Good analytical problem-solving skills Curious, positive, persistent, and can-do attitude Proficiency in English & Spanish is a must Nice to have Building self-service apps in Python Working with API GitHub co-pilot CI/CD #LI-CO1 Tipo de contrato.
Permanente Aquí, en el grupo Havas, nos enorgullecemos de estar comprometidos con la igualdad de oportunidades para todas las personas y de tener cero tolerancia con la discriminación.
Somos un grupo con igualdad de oportunidades y damos la bienvenida a los solicitantes independientemente de su edad, sexo, raza, origen étnico, discapacidad y otros factores que no tienen relación con la capacidad de un individuo para realizar su trabajo.
Debido al gran número de solicitudes recibidas, tan solo contactaremos con los candidatos/as que encajen con el perfil publicado.