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Salary
≈ $16k – $41k per year (Estimated)
Location
Hybrid (Lima, Peru)
Seniority
Senior · 3+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 28, 2026. First seen by Alion on Oct 25, 2026. Havas scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Havas is a global advertising and communications group headquartered in Puteaux, near Paris, France, that offers creative, media, health communications, public relations, customer experience and business consulting services to brands. Founded in 1835 by Charles-Louis Havas as a news agency, it was spun off from Vivendi and listed on Euronext Amsterdam in 2024, and employs about 23,000 people through agencies such as Havas Media Network, BETC and Arnold. It hires media planners and consultants, account and project managers, data analysts, finance controllers, talent sourcers and product owners, plus software engineers at Ekino.

Agency :

Havas Media Group

Job Description :

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:

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

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.

Contract Type :

Permanent

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.

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