Data Scientist, Media Analytics & Campaign Insights

Rise; Ecatepec de Morelos; Hybrid; MXN 420,000 - 660,000; Full time

Job summary

Rise is seeking a Data Scientist to join its Insights and Analytics team in Mexico City, working across data cleansing, modeling, and optimization for media campaigns. You will build pipelines, execute predictive and explanatory models, and translate results into actionable insights.

Role requires 1–3 years in data science or analytics, strong Python or R skills, and experience with SQL and visualization tools; collaboration with media planners and data engineers is essential.

Qualifications

• Bachelor's degree in a data-related field; Master's preferred.
• 1–3 years in data science or analytics focused on media effectiveness.
• Proficient in Python or R and ML frameworks.
• Experience with SQL and data visualization tools.
• Strong communication skills in English.
• Ability to translate data insights for non-technical stakeholders.

Responsibilities

• Data cleansing, formatting, loading, execution of models.
• Load, execute, and refine statistical and ML models.
• Develop processes and data pipelines to support media planning.
• Analyze media performance metrics and ROI.
• Translate complex data findings into clear insights.
• Collaborate with cross-functional teams to align data with strategy.

Skills

Statistical analysis

Machine learning

Data visualization

Python

R

Communication

English proficiency

Collaboration

Education

Bachelor's degree in Data Science/Statistics/CS/Mathematics

Master's degree preferred

Tools

Pandas

NumPy

Scikit-learn

TensorFlow

SQL

Tableau

Power BI

Job description

Rise is seeking a Data Scientist to join its Insights and Analytics team in Mexico City, working across data cleansing, modeling, and optimization for media campaigns. You will build pipelines, execute predictive and explanatory models, and translate results into actionable insights.

Role requires 1–3 years in data science or analytics, strong Python or R skills, and experience with SQL and visualization tools; collaboration with media planners and data engineers is essential.