Senior Data Scientist

Havas Group; Lima Metropolitana; Remote; PEN 242,000 - 346,000; Full time

Benefits offered by this job

Global exposure

Remote work model

Health insurance

Culture & community

Competitive compensation

Job summary

Havas Media Group seeks a Senior Data Scientist focused on marketing analytics and advanced measurement. You will guide MMM, attribution, and geo-lift initiatives across global markets, translating business needs into scalable analytical solutions with consultants and product teams.

You will deploy models, work with web platforms, and ensure privacy-first practices while mentoring teammates in a distributed environment. English communication is essential.

Qualifications

• Strong background in statistics, econometrics, marketing analytics, or media measurement.
• 3-5 years of analytics or measurement project experience (MMM, attribution, or experimentation).
• Proficient in Python (pandas, scikit-learn, statsmodels) and SQL.
• Familiarity with causal inference, time-series modeling, and regression analysis.
• Experience with media, CRM, or e-commerce datasets.
• Excellent English communication, written and verbal.
• Comfortable in distributed, remote, and cross-functional teams.

Responsibilities

• Act as the technical referent for marketing measurement projects across global markets.
• Translate business needs into robust analytical solutions with consultants and product teams.
• Support design, execution, and interpretation of MMM, attribution models, and geo-lift tests.
• Contribute to model deployment and integration into web platforms with product and data engineering teams.
• Ensure consistency and privacy-first methodologies across deliverables.
• Represent technical capabilities in internal and client discussions.
• Mentor junior team members and promote knowledge sharing.

Skills

Statistics & Econometrics

Marketing Analytics / MediaMeasurement

Causal Inference

Time-series Modeling

Regression Analysis

MMM / Attribution / Experimentation

Data-driven decision making

Tools

Python

Pandas

Scikit-learn

Statsmodels

SQL

Job description

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

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.