Marketing Data Scientist (Python)

TL;DR

Marketing Data Scientist (Python): Developing and maintaining marketing ROI and analytics models with an accent on statistical modeling and ad spend optimization. Focus on building scalable Python-based data workflows and improving Streamlit-based reporting applications within AWS environments.

Location: Must be based in Brazil, Argentina, Costa Rica, Chile, Mexico, or Colombia. Overlap with 3pm CST is required.

Company

hirify.global is a technology-focused organization operating through the Toptal network.

What you will do

• Develop and maintain marketing ROI and analytics models.
• Analyze marketing and sales data to measure channel performance and advertising effectiveness.
• Partner with business stakeholders to identify key drivers behind marketing performance.
• Build scalable Python-based data workflows and analytical tools.
• Support and improve Streamlit-based applications for reporting and visualization.
• Collaborate with engineering teams to improve code quality and maintainability.

Requirements

• Strong Python programming experience.
• Experience with Pandas, NumPy, PyTest, and Streamlit.
• Experience working with time series data.
• Understanding of statistical modeling techniques including Bayesian and linear models.
• Knowledge of software engineering best practices.
• Experience with AWS services such as S3 and EC2.

Nice to have

• Experience with Marketing Mix Modeling (MMM).
• Background in marketing analytics or ad-tech environments.
• Familiarity with ROI optimization and attribution modeling.
• Exposure to DataDog or similar monitoring tools.
• Spanish proficiency.

Culture & Benefits

• Immediate contribution to a live ML application with clear ownership.
• Deep collaboration with domain experts and applied data teams.
• Opportunities to apply and grow expertise in both model development and deployment workflows.