Data Scientists
Publicis Groupe · Bogotá
Company descriptionPublicis 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
The Data Scientist is responsible for advanced audience development and technology enablement. The role requires the candidate to sift through big data by leveraging advanced statistical concepts and guide the client into the world of futureproofed technology.
Working closely with client stakeholders and internal team leads are vital parts of the role, with accountability for the highest quality execution of a diverse array of client and project deliverables an imperative. The role functions as an expert technical point of escalation, an analytical problem solver, and a technical translator to internal account teams and clients. It provides ongoing strategic account direction/vision for technology, process, and data science.
Responsibilities
- Lead the development and implementation of machine learning models and advanced analytics solutions for audience segmentation, predictive analytics, and strategic insights.
- Perform hands-on coding and code-reviewing 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.
- Contribute in the creation and maintainance of documentation and best practices.
Qualifications
- 6+ years of experience in the Advertising or Marketing industry
- Advanced English Level
Working knowledge of advanced statistical concepts and machine learning techniques (logistic regression, k-means clustering, etc.)
Understanding of experimental design and the concept of statistical significance in terms of test results
Quantitative educational background (preferred advanced degree in Statistics and / or Data Science)
Solid written and verbal communication skill with ability to communicate/translate complex concepts to non-technical audience
Client management/consultative experience with both presenting and resolving issues
- 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.
- Lead the development and implementation of machine learning models and advanced analytics solutions for audience segmentation, predictive analytics, and strategic insights.
- Perform hands-on coding and code-reviewing 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.
- Contribute in the creation and maintainance of documentation and best practices.
- 6+ years of experience in the Advertising or Marketing industry
- Advanced English Level
Working knowledge of advanced statistical concepts and machine learning techniques (logistic regression, k-means clustering, etc.)
Understanding of experimental design and the concept of statistical significance in terms of test results
Quantitative educational background (preferred advanced degree in Statistics and / or Data Science)
Solid written and verbal communication skill with ability to communicate/translate complex concepts to non-technical audience
Client management/consultative experience with both presenting and resolving issues
- 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.