Marketing mix modeling (MMM) is a statistical causal inference and forecasting methodology used to estimate the impact of various marketing tactics on product sales. MMMs use statistical models, such as multivariate regressions, and use sales and marketing time-series data. They are often used to optimize advertising mix and promotional tactics with respect to sales, revenue, or profit to maximize their return on investment.

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5 jobs · 5 companies · last seen 6 October 2026

There are currently 5 open roles in Berlin that mention Marketing Mix Modeling, posted by 5 companies. It frequently pairs with Causal Inference, Stakeholder Management, Product Analytics. Seen most in Data Scientist (7% of their roles) and Analytics Engineer (7% of their roles). Across those roles, 100% list it as required and 0% as nice-to-have.

Frequently asked questions

How many Marketing Mix Modeling jobs are available in Berlin right now?

There are currently 5 open roles in Berlin that mention Marketing Mix Modeling, posted by 5 companies. The board is refreshed multiple times a day — more frequently during Berlin working hours — so new roles can appear throughout the day.

Which companies in Berlin are hiring for Marketing Mix Modeling?

Companies currently listing the most Marketing Mix Modeling roles include: Almedia, PERGOLUX, Vinted, Taxfix, Supabase.

What skills pair well with Marketing Mix Modeling?

Employers who ask for Marketing Mix Modeling also frequently require: Causal Inference (80%), Stakeholder Management (80%), Product Analytics (80%), Marketing Analytics (80%), Python (80%).

In which Berlin job roles is Marketing Mix Modeling most in demand?

Based on current listings, Marketing Mix Modeling appears most in: Data Scientist (7%), Analytics Engineer (7%) roles.