Data Scientist
Role details
Job location
Tech stack
Job description
About Creative Excellence (CRE)
We are communication experts who combine art, science, and knowledge to help our clients achieve their business goals through creative excellence. We cover the entire creative development process with the goal of bringing back the magic. We are the number one company world-wide in covering the entire creative development process, starting from the initial insight exploration to big idea assessment, early screening of territories, storyboards, to evaluation and qualification of the campaign ensuring the best ROI is delivered for the brand prior to airing, and finally the monitoring of its impact in-market., Participate in the development of new data science methodologies (leveraging GenAI, computer vision, natural language processing, synthetic models, Agentic AI...) to elevate our Creative Development, Assessment and In Market offers
- Collaborate with the global products team in developing new data products and services that will differentiate us from the competition
- Develop/exploit cloud native tools/solutions for more powerful analytical insights and operational efficiencies
- Develop and maintain our core predictive models to create robust KPIs/norms that are a key part of our Global SL Survey and AI offer
- Work with other cross-functional teams (e.g. tech team, data scientists/engineers, automation team) as needed in the deployment of new solutions
- Stay on top of new analytical techniques and industry trends
- Identify ways to improve efficiencies through automation and AI
Requirements
Profil recherché Master's degree (or equivalent) in Data Science, Statistics, Applied Mathematics, Computer Science, Econometrics, or a related quantitative field.Strong knowledge of statistical methodologies and their applications to business questions (e.g. predictive models, clustering techniques)Proficiency in writing Python/R scripts and maintaining code librariesWorking knowledge of SQL and experience in designing/querying large analytical datasets (e.g. in BigQuery or similar cloud warehouses).Knowledge of LLMs is idealApplying LLMs to text-focused problems such as classification, summarization, extractionExperience with prompt design and output postprocessingFamiliarity with retrieval-augmented generation (RAG) to ground model outputsExperience with Cloud platforms (ideally Google Cloud Platform (GCP)) and building data chains.English mandatorySoft SkillsStrong analytical and problem-solving skills, with attention to detail and methodological rigor.Ability to understand business and research problems and translate them into concrete analytical approaches.Comfortable working in cross-functional teams (data science, engineering, research, client service).Comfortable with presenting technical results to non-technical audiencesRegional/global experience is an advantageAbility to work and communicate effectively in a diverse environment is an assetUnderstanding of market research methodologies is an advantage Informations complémentaires Type de contrat : CDI Lieu : Paris Expérience : > 3 ansTélétravail partiel possible, * Master's degree (or equivalent) in Data Science, Statistics, Applied Mathematics, Computer Science, Econometrics, or a related quantitative field.
- Strong knowledge of statistical methodologies and their applications to business questions (e.g. predictive models, clustering techniques)
- Proficiency in writing Python/R scripts and maintaining code libraries
- Working knowledge of SQL and experience in designing/querying large analytical datasets (e.g. in BigQuery or similar cloud warehouses).
- Knowledge of LLMs is ideal
- Applying LLMs to text-focused problems such as classification, summarization, extraction
- Experience with prompt design and output postprocessing
- Familiarity with retrieval-augmented generation (RAG) to ground model outputs
- Experience with Cloud platforms (ideally Google Cloud Platform (GCP)) and building data chains.
- English mandatory
Soft Skills
- Strong analytical and problem-solving skills, with attention to detail and methodological rigor.
- Ability to understand business and research problems and translate them into concrete analytical approaches.
Benefits & conditions
- Comfortable working in cross-functional teams (data science, engineering, research, client service).
- Comfortable with presenting technical results to non-technical audiences
- Regional/global experience is an advantage
- Ability to work and communicate effectively in a diverse environment is an asset
- Understanding of market research methodologies is an advantage
