Senior Data ScientistCe site peut utiliser des cookies. Pour plus d'informations, veuillez consulter la politique de confidentialité de Workday.### Senior Data ScientistPostuler: Hybrid: Lima: Temps Plein: Offre publiée aujourd'hui: JR0094565**Agence :**Havas Media Group**Description du poste :**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. **What We Offer:** **Integral 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 If you are a Data Scientist with a passion for marketing analytics and are eager to make a significant impact on our clients' success, we would love to hear from you! Apply now to join the CSA team within Havas Media Group and take your career to new heights.**Type de contrat :**CDI**Vous intégrerez une entreprise garantissant l'égalité des chances et qui valorise la diversité.** #J-18808-Ljbffr

Statistics, Econometrics, Marketing analytics, Media measurement, Python, SQL, Causal inference, Time-series modeling, Regression analysis, CRM data, E-commerce data, English communication
Servir de référent technique sur les projets de mesure marketing à l’échelle globale., Traduire les besoins business en solutions analytiques robustes., Concevoir et exécuter des modèles MMM, attribution et tests d’incrémentalité., Contribuer au déploiement et à l’intégration des modèles dans des plateformes web., Assurer la qualité et la reproductibilité des livrables et privilégier les méthodes respectueuses de la vie privée., Représenter les compétences techniques lors des échanges internes et avec les clients., Favoriser le partage de connaissances et encadrer les analystes juniors lorsque nécessaire.

📌 Senior Data Scientist (Lima)
🏢 Havas Group
📍 Lima