Senior Data Scientist

Lufinity AI; München; Hybrid; EUR 90.000 - 110.000; Vollzeit

Zusammenfassung

A growing retail business in Munich is seeking a Marketing Data Scientist to develop their Marketing Mix Modelling (MMM) capability. This hybrid role offers an exciting opportunity to influence marketing budgets with your data-driven insights and causal measurement strategies. You will collaborate with marketing and commercial teams to guide decisions based on sophisticated modeling. Ideal candidates have deep experience in data science, econometrics, and hands-on skills in Python or R. Join us to shape impactful business strategies!

Qualifikationen

• Strong experience building or owning MMM / media effectiveness models.
• Hands-on experience with causal inference, regression modelling, and time-series analysis.
• Experience working with marketing data, including paid media and digital channels.

Aufgaben

• Own and develop Marketing Mix Models (MMM) to measure channel effectiveness and ROI.
• Design and apply causal inference techniques to understand incrementality.
• Partner with Marketing teams to translate model outputs into budget decisions.

Kenntnisse

Building Marketing Mix Models (MMM)

Causal inference

Regression modelling

Time-series analysis

Python

R

SQL

Communication with stakeholders

Ausbildung

Background in econometrics, statistics, data science, or quantitative economics

Tools

Data infrastructure tools

Jobbeschreibung

Marketing Data Scientist (MMM Focus)

Munich (Hybrid) - 3 days in office.

€90,000 - €110,000

Retail / Consumer Business

We’re partnering with a fast-growing retail business that is investing heavily in data-driven marketing and commercial decision science. They’re now looking for a Marketing Data Scientist to take ownership of their Marketing Mix Modelling (MMM) capability and help shape how marketing spend drives measurable business impact. This is not a reporting role - this is about causal measurement, modelling, and commercial influence.

The Role

You’ll sit at the intersection of marketing, data science, and commercial strategy, building models that directly influence budget allocation and growth decisions.

Key responsibilities

• Own and develop Marketing Mix Models (MMM) to measure channel effectiveness and ROI
• Design and apply causal inference and econometric techniques to understand incrementality
• Partner with Marketing and Commercial teams to translate model outputs into budget and strategy decisions
• Build scalable modelling pipelines using modern data infrastructure
• Support experimentation frameworks and incrementality testing
• Communicate complex statistical outputs in a clear, business-friendly way

What They’re Looking For

• Strong experience building or owning MMM / media effectiveness models
• Background in econometrics, statistics, data science, or quantitative economics
• Hands-on with causal inference, regression modelling, and time-series analysis
• Strong Python or R skills (SQL also expected)
• Experience working with marketing data (paid media, digital channels, promotions, seasonality, etc.)
• Comfortable working with stakeholders outside of data teams

Why This Role is Interesting

• Direct impact on multi-million € marketing budgets
• Retail environment = rich data + real commercial levers
• Opportunity to build MMM capability into a core strategic function
• Strong visibility with senior leadership

Ideal Backgrounds Might Include

• Marketing / Growth Data Science
• Econometrics or Pricing Science
• Experimentation / Incrementality roles
• Media effectiveness modelling

If you’re a data scientist who wants your work to shape real business decisions, not just dashboards, this is the kind of role where your models genuinely matter.

Apply if you're interested in this role!