Senior Data Science Analyst

Publicis Groupe · Bogotá

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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

• 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.

• 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.

• 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.

• 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.

• 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.

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