Global Data Science Manager

hace 1 mes

Madrid, España Havas Media Group Spain Sau A tiempo completo

Global Data Science Manager
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Remote Type: Hybrid

Locations: Madrid

Time Type: Full time

Posted on: Posted 5 Days Ago

Job Requisition ID: JR0075902

Agency: Havas Media Group Spain

Job Description Summary:

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 supports the Product team in collaboration with the IT team to align business requirements with functional and technical specifications with architecture.

S/He works efficiently to complete projects as a team and with the help of IT to aid 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 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 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 modeling in Python.

Actively works 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 works with the Product team and contributes to definition, specification, validation, and implementation of user cases using client data. Ex: prediction of intention to buy, segmentation, etc.

Provides functional and technical specifications 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.

Nice to have:

Building self-service apps in Python.

Working with API.

GitHub co-pilot.

CI/CD.

Contract Type: Permanent

Here at Havas across the group we pride ourselves on being committed to offering equal opportunities to all potential employees and have zero tolerance for discrimination. We are an equal opportunity employer and welcome applicants irrespective of age, sex, race, ethnicity, disability and other factors that have no bearing on an individual's ability to perform their job.

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