Senior Data Scientist

Senior Data Scientist – Marketing Analytics & Advanced Measurement

Location: Perú Fully Remote.

We're seeking a Senior Data Scientist focused on marketing analytics and advanced measurement—including methodologies like Marketing Mix Modeling, Attribution Models, and incrementality testing. Will be part of a global team, support markets across all regions, collaborating with consultants, analysts, and product leads.

Key Responsibilities

• Act as the technical referent for marketing measurement projects across global markets, guiding implementation within established frameworks.
• Translate business needs into robust analytical solutions in collaboration with consultants and product teams.
• Support the technical design, execution, and interpretation of models such as MMM, Advance digital Attribution models, and geo-lift tests.
• Contribute to model deployment and integration into web-based platforms, in collaboration with product and data engineering teams.
• Ensure consistency and quality across deliverables, promoting repeatable and privacy-first methodologies.
• Represent technical capabilities in internal conversations and client-facing discussions.
• Help maintain a knowledge-sharing culture across the team, and mentor junior team members when appropriate.

Requirements

• A strong technical background, ideally with experience in statistics, econometrics, marketing analytics, or media measurement.
• 3-5 years of experience working on analytics or measurement projects, with hands-on work in MMM, attribution, or experimentation.
• Proficiency in Python (e.g., pandas, scikit-learn, statsmodels); SQL is required.
• Familiarity with causal inference, time-series modeling, and regression analysis.
• Experience working with media, CRM, or e-commerce datasets.
• Excellent communication skills in English, both written and verbal.
• Comfortable working in distributed, remote, and cross-functional teams.

Nice to Have

• Experience with MMM libraries (e.g., Robyn, Meridian, LightweightMMM).
• Exposure to cloud environments (e.g., GCP, BigQuery).
• Understanding Martech ecosystem.
• Bayesian background.

Here at Havas across the group we pride ourselves on being committed to offering equal opportunities to all potential employees and have zero tolerance for discrimination. We are an equal opportunity employer and welcome applicants irrespective of age, sex, race, ethnicity, disability and other factors that have no bearing on an individual's ability to perform their job.