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Havas

Senior Data Scientist

Havas

. Act as the technical referent for marketing measurement projects across global markets, guiding implementation within established frameworks.

Posted 10/25/2026full-timeLima • PeruSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in marketing measurement and analytics, with a strong technical foundation in statistics and econometrics. Proficient in developing and implementing analytical solutions using Python and SQL, while ensuring high-quality deliverables and mentoring junior team members.

Highest-signal resume keywords
Marketing MeasurementMMM (Marketing Mix Modeling)Python ProficiencySQL ExpertiseCausal Inference

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
StatisticsEconometricsMarketing AnalyticsAttribution ModelingRegression AnalysisTime-Series ModelingMMM LibrariesData AnalysisData InterpretationModel Deployment
Soft Skills
Excellent Communication SkillsMentoringCollaborationKnowledge SharingAdaptability
Tools & Technologies
Python (Pandas, Scikit-Learn, Statsmodels)SQLGCPBigQueryRobynMeridianLightweightMMM
Industry Keywords
Media MeasurementDigital AttributionE-Commerce DatasetsMartech EcosystemPrivacy-First Methodologies

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, guiding implementation within established frameworks.
  • Translate business needs into robust 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, promoting repeatable and privacy-first methodologies.
  • Represent technical capabilities in internal conversations and client-facing discussions.
  • Help maintain a knowledge-sharing culture and mentor junior team members when appropriate.

Requirements

What you’ll need
  • 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.
  • Experience with MMM libraries (e.g., Robyn, Meridian, LightweightMMM) is nice to have.
  • Exposure to cloud environments (e.g., GCP, BigQuery) is nice to have.
  • Understanding Martech ecosystem is nice to have.
  • Bayesian background is nice to have.

Benefits

Comp & perks
  • Global Exposure: Work with international teams and global brands.
  • Long-Term Contract: Stability and the opportunity to grow within a global network.
  • Remote Work Model: Virtual work environment with a healthy work-life balance.
  • Health & Wellness: EPS 100% health insurance and wellness initiatives.
  • Culture & Community: Inclusive, collaborative, and purpose-driven workplace.
  • Competitive Compensation: Full time contract monthly salary + food benefit card