Senior Data Scientist – Marketing Mix Modelling (h/f)

Wewyse Reply; Paris; On-site; EUR 70,000 - 110,000; Full time

Job summary

Wewyse Reply is seeking an experienced Data Scientist to own Marketing Mix Modelling (MMM) and MMM Optimizer development in a Databricks environment. You will translate models into production-grade automation, using Meridian for analysis and insights, while operating independently on end-to-end projects.

The role requires strong ML/statistical modeling, Python/SQL competencies, and fluency in English for client collaboration and documentation.

Qualifications

• Demonstrated expertise in Marketing Mix Modelling, media effectiveness analysis, and campaign ROI measurement.
• Strong machine learning and statistical modeling background with the ability to work autonomously on complex problems.
• Proficiency in Python, SQL, and big data processing frameworks (Spark, Databricks preferred).
• Experience with model automation, CI/CD pipelines, and MLOps best practices.
• Fluent in English (written and verbal) - essential for client collaboration and documentation.

Responsibilities

• Model Development & Refinement: Develop and refine Marketing Mix Models and MMM Optimizer algorithms, working independently on complex statistical and machine learning challenges.
• Databricks Automation: Translate defined models into automated, production-grade pipelines using Databricks, ensuring scalability, reliability, and maintainability.
• Meridian Integration: Leverage Meridian as the primary tool for model analysis, validation, and insights generation.
• Solo Capability: Operate independently on assigned topics, from conception through deployment, with minimal supervision.
• Model Monitoring & Optimization: Monitor model performance in production, implement improvements, and optimize media spend allocation strategies.

Skills

Marketing Mix Modelling

Media effectiveness analysis

Campaign ROI measurement

Python

SQL

Spark

Databricks

MLOps

CI/CD pipelines

English fluency

Tools

Databricks

Meridian

Job description

Role Overview

We are seeking an experienced Data Scientist to join our team and take ownership of our Marketing Mix Modelling (MMM) platform. You will work autonomously on the development, refinement, and deployment of MMM and MMM Optimizer models. Your expertise will be critical in translating defined models into production-grade automation within our Databricks environment, with Meridian as the primary analytics tool.

Key Responsibilities

Model Development & Refinement: Develop and refine Marketing Mix Models and MMM Optimizer algorithms, working independently on complex statistical and machine learning challenges

Databricks Automation: Translate defined models into automated, production-grade pipelines using Databricks, ensuring scalability, reliability, and maintainability

Meridian Integration: Leverage Meridian as the primary tool for model analysis, validation, and insights generation

Solo Capability: Operate independently on assigned topics, from conception through deployment, with minimal supervision

Model Monitoring & Optimization: Monitor model performance in production, implement improvements, and optimize media spend allocation strategies

Required Qualifications

Demonstrated expertise in Marketing Mix Modelling, media effectiveness analysis, and campaign ROI measurement

Strong machine learning and statistical modeling background with the ability to work autonomously on complex problems

Proficiency in Python, SQL, and big data processing frameworks (Spark, Databricks preferred)

Experience with model automation, CI/CD pipelines, and MLOps best practices

Fluent in English (written and verbal) - essential for client collaboration and documentation