Junior Data Scientist - ML, SQL & Client Insights

Publicis Groupe; Bogotá; On-site; COP 30,000,000 - 42,000,000; Full time

Job summary

Publicis Global Delivery is seeking a Junior Data Science Analyst in Bogotá to drive advanced audience development and technology enablement. You will sift through big data using statistical concepts and translate findings for client stakeholders and internal teams.

You will contribute to clean room strategies, build propensity models, and ensure high-quality deliverables while collaborating with cross-functional teams on insights and activation strategies.

Qualifications

• 1+ year of experience as a Data Scientist or similar role.
• Strong Python skills for data analysis and machine learning.
• Strong SQL skills and experience manipulating large datasets.
• Hands-on statistical modeling and ML experience (regression, clustering, propensity modelling).
• Strong knowledge of statistics and experimental design.

Responsibilities

• Guide clients in clean room strategy and enable the use of futureproofed technology.
• Develop propensity models for new and existing audiences.
• QA and troubleshooting of 1P onboarded data to ensure acceptable match rates.
• Advance internal modeling practices to improve core hour usage efficiency.
• Analyze 1P subscriber segments and collaborate with internal teams on findings.
• Run and maintain index reports and Python scripts for data organization.

Skills

Python

SQL

Statistical modeling

Experimental design

Client-facing communication

English B2+

Data analysis

1+ year experience in data science

Education

Statistics / Data Science degree

Tools

Redshift

AWS

Job description

Publicis Global Delivery is seeking a Junior Data Science Analyst in Bogotá to drive advanced audience development and technology enablement. You will sift through big data using statistical concepts and translate findings for client stakeholders and internal teams.

You will contribute to clean room strategies, build propensity models, and ensure high-quality deliverables while collaborating with cross-functional teams on insights and activation strategies.