Senior Data Scientist

Havas

. Act as the technical referent for marketing measurement projects across global markets .

Posted 10/25/2026full-timeLima • PeruSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Marketing Mix Modeling (MMM), advanced digital attribution, and statistical analysis, with proficiency in Python and SQL for data-driven decision-making. Capable of guiding technical implementations and fostering collaboration across cross-functional teams while maintaining high-quality standards.

Highest-signal resume keywords

Marketing Mix Modeling (MMM)Python ProficiencySQL ExpertiseCausal InferenceCommunication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

StatisticsEconometricsMarketing AnalyticsAttributionExperimentationTime-Series ModelingRegression AnalysisMMM LibrariesData AnalysisData Interpretation

Soft Skills

MentoringCollaborationKnowledge SharingCommunication

Tools & Technologies

Python LibrariesGCPBigQueryRobynMeridianLightweightMMM

Industry Keywords

Marketing MeasurementMedia MeasurementCRME-CommerceMartech Ecosystem

Tech Stack

Tools & technologies

BigQueryCloudGoogle Cloud PlatformPandasPythonScikit-LearnSQL

About the role

Key responsibilities & impact

Act as the technical referent for marketing measurement projects across global markets
Guide implementation within established analytical frameworks
Translate business needs into analytical solutions with consultants and product teams
Support the technical design, execution, and interpretation of MMM, advanced digital attribution models, and geo-lift tests
Contribute to model deployment and integration into web-based platforms with product and data engineering teams
Ensure consistency and quality across deliverables
Promote repeatable and privacy-first methodologies
Represent technical capabilities in internal and client-facing discussions
Maintain a knowledge-sharing culture across the team
Mentor junior team members when appropriate

Requirements

What you’ll need

Strong technical background, ideally in statistics, econometrics, marketing analytics, or media measurement
3–5 years of experience working on analytics or measurement projects
Hands-on experience in Marketing Mix Modeling (MMM), attribution, or experimentation
Proficiency in Python, including pandas, scikit-learn, and statsmodels
SQL is required
Familiarity with causal inference, time-series modeling, and regression analysis
Experience with media, CRM, or e-commerce datasets
Excellent written and verbal communication skills in English
Comfortable working in distributed, remote, and cross-functional teams
Experience with MMM libraries such as Robyn, Meridian, or LightweightMMM
Exposure to cloud environments such as GCP and BigQuery
Understanding of the Martech ecosystem
Bayesian background

Benefits

Comp & perks

Global exposure working with international teams and global brands
Long-term contract with stability and opportunity to grow within a global network
Remote work model / virtual work environment with work-life balance
EPS 100% health insurance
Wellness initiatives
Inclusive, collaborative, and purpose-driven workplace
Competitive compensation
Food benefit card