Data Science Analyst

Description du poste:

Company description Publicis Global Delivery (PGD); Publicis Groupe's industry leading globally connected capability platform. Where talent, technology & operations combine to delivery amazing solutions for our clients. Expertise across Media, Data, Technology, Commerce & Production in all regions of the world. PGD is comprised of the best talent, and ways-of-working, which enables global scale, innovation and transformation, each day. Culture, growth and wellbeing underline all aspects of Publicis Global Delivery. #WeArePGD Overview We are looking for a Data Science Analyst to join our multicultural & challenging team. Responsibilities * Develop and implement machine learning models and advanced analytics solutions for audience segmentation, predictive analytics, and strategic insights. * Perform hands-on coding in Python, including data manipulation, modeling, and automation of data pipelines. * Work extensively with Databricks, AWS (Redshift), and SQL for data querying, ETL, and notebook development. * Build and maintain dashboards and data visualizations, primarily using Tableau. Collaborate with cross-functional teams, support brand-specific analytics, and contribute to team knowledge sharing. * Conduct data discovery, insight generation, and support strategic decision-making. Qualifications * Strong Python programming skills, including experience with relevant libraries for data science and analytics. * Proficiency in SQL and database manipulation. * Hands-on experience with Databricks and AWS (Redshift); Azure experience is acceptable but AWS is preferred. * Experience in building machine learning models and statistical analysis, including time series and audience modeling. * Ability to create dashboards and visualizations in Tableau

Profil requis du candidat:

* Strong Python programming skills, including experience with relevant libraries for data science and analytics. * Proficiency in SQL and database manipulation. * Hands-on experience with Databricks and AWS (Redshift); Azure experience is acceptable but AWS is preferred. * Experience in building machine learning models and statistical analysis, including time series and audience modeling. * Ability to create dashboards and visualizations in Tableau