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 • Apply data science and machine learning methodologies, with a strong focus on causal inference and statistics, to generate actionable insights for campaign planning, measurement, and optimization. Responsibilities • Build, test, and maintain scalable data pipelines and analytical models. • Summarize, visualize, communicate, and document analytics concepts, processes, and results for both technical and non-technical audiences. • Collaborate with team members, stakeholders, and occasionally clients to define analytical objectives, approaches, and timelines. • Lead projects with minimal oversight, establish expectations, ask the right questions, create project plans, and execute them independently. • Develop machine learning models, perform SQL-based analysis, and contribute to automation initiatives. • Design and automate AI/data pipelines that support recurring reporting, data transformation, prediction, measurement, and dashboarding workflows. Qualifications • Expertise in Data Science and Machine Learning. • Strong causal inference and statistical analysis experience. • Advanced SQL proficiency. • Python proficiency. • Experience working with Google Cloud Platform services, particularly BigQuery, Data Studio/Looker Studio, and Dataproc. • Experience with econometric models and machine learning methodologies. • Ability to independently lead projects and work with minimal coaching or supervision.