Global Senior Data Scientist

hace 3 semanas

España Havas Group A tiempo completo

Hybrid
Agency :
Havas Media Group Spain
Job Description Summary :
.
Job Description :
The Global Senior Data Scientist 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 help develop innovative 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 internal Product Directors/Managers, Data science 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 & help scale a MVP to industrialize use in Havas’ data products involving data science and automation
- 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

- 4+ years relevant professional experience

Key Competencies
Technical

- Working with Big Data in GCP 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
- Working with API

Non-Technical

- Good 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
- Git Hub co-pilot
- CI/CD

#LI-CO1
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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