Senior Consultant, Marketing Mix Modeling

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. Process, prepare, and conduct exploratory analysis of complex, high-volume datasets, including media, sales, promotions, and macroeconomic data .

Posted 10/28/2026full-timeParis • FranceSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Marketing Mix Modeling, statistical and econometric modeling, and data analysis using Python or R. Capable of interpreting complex datasets and communicating insights effectively to stakeholders.

Highest-signal resume keywords

Marketing Mix Modeling (MMM)Statistical ModelingPython ProgrammingRegression AnalysisTime Series Methods

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

EconometricsBayesian ApproachesData AnalysisData ProcessingModel OptimizationStatistical Results InterpretationModeling PipelinesData CrunchingAdstock ConceptsDiminishing Returns

Soft Skills

Analytical MindsetTeam-OrientedProactiveCommunication SkillsTechnical Guidance

Tools & Technologies

MeridianOrbitPyMCAgentic AI

Industry Keywords

Consulting ExperienceData ScienceStatisticsMarketing Activation LeversR&D Initiatives

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Process, prepare, and conduct exploratory analysis of complex, high-volume datasets, including media, sales, promotions, and macroeconomic data
Develop, train, and optimize econometric and statistical models
Use regression analysis, Bayesian approaches, time series methods, and packages such as Meridian, Orbit, and PyMC
Interpret statistical results and help communicate clear insights and actionable marketing activation levers
Establish, improve, and standardize modeling pipelines and frameworks
Collaborate with Data Engineers to automate data processing and deploy models using agentic AI
Contribute to the global Data Science community, technical synergies, and internal R&D initiatives
Provide occasional technical and methodological guidance to junior team members

Requirements

What you’ll need

2 years of experience in Marketing Mix Modeling (MMM), Data Science, Statistics, or Econometrics
Experience in a consulting firm is a strong plus
Excellent proficiency in Python (preferred) or R
Strong background in statistical and econometric modeling, including linear/multiple regression, time series, and Bayesian models
Familiarity with MMM concepts such as Adstock and diminishing returns is a plus
Rigorous, analytical mindset with a strong hands-on approach to coding and data crunching
Ability to explain mathematical concepts to non-technical stakeholders
Team-oriented and proactive

Benefits

Comp & perks

Work-life balance, including manageable working hours and support for parenthood
Internal learning academy offering ongoing training and certifications on a range of tools
Flexible remote-work policy
Equipment for remote work, plus a monthly work-from-home allowance
Frequent team-building events
WellPass membership (formerly GymLib)
Activities organized through the employee committee, including themed evenings, office social events, and a ski weekend
Sustainable mobility allowance for employees who cycle or use a scooter