Data Scientist MMM

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting‑edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.

• Support the design and implementation of Marketing Mix Models (MMM) to measure marketing ROI and optimize channel performance.
• Collect, clean, and integrate marketing and sales data from multiple sources (digital, CRM, media, retail).
• Conduct statistical analysis and modelling (e.g., regression, adstock, saturation, decay).
• Visualize and present analytical results in a clear and actionable way for business stakeholders.
• Collaborate closely with marketing, finance, and analytics teams to translate results into recommendations.
• Assist in automation of modelling workflows and reporting dashboards using Python or R.
• Contribute to continuous improvement of modelling frameworks and data quality checks.

• 2-4 years of experience in Data Science, Econometrics, or Advanced Analytics.
• Proven experience developing and maintaining Marketing Mix Models (MMM) at scale.
• Strong proficiency in Python and/or R for data manipulation, modelling, and visualization.
• Deep understanding of marketing metrics (ROI, CPx, media elasticity, saturation, adstock, etc.).
• Experience working with marketing and sales data from sources such as Google, Meta, Salesforce, or Adobe.
• Solid grasp of statistical modelling, Bayesian inference, and regression analysis.
• Excellent communication and presentation skills in English.

Nice-to-have:

• Experience with Google Meridian, Robyn, or other MMM frameworks.
• Knowledge of incrementality testing or attribution modelling.
• Background in FMCG, retail, or media analytics.

• Well‑being culture: medical care with Medicover, private life insurance, and Sports card. But we went one step further by creating our own Capgemini Helpline offering therapeutical support if needed and the educational podcast 'Let's talk about wellbeing' which you can listen to on Spotify.
• Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings.
• Continuous feedback and ongoing performance discussions thanks to our performance management tool Get Success supported by a transparent performance management policy.
• Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details.

Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued.