Senior Data Scientist, Marketing (d/f/m)

About This Opportunity

We are representing a confidential fintech client in Berlin that is building the next generation of marketing measurement infrastructure. This is a rare opportunity to own causal measurement at scale—designing incrementality frameworks, building production models, and directly shaping how a data-driven growth organization allocates budget across competitive digital channels.

Our client has mature data foundations and stakeholders who run experiments daily. What they need now is a senior scientist who can connect attribution, MMM, and incrementality testing into one coherent, automated system that drives CAC, CLV, and revenue decisions.

Responsibilities

• Design and execute geo tests and incrementality studies as the primary instrument for establishing causal growth drivers, from experimental design through to actionable spend decisions
• Advance steering mechanisms using regression, Bayesian inference, and causal inference to turn budget questions into clear decision frameworks that increase customer lifetime value and reduce acquisition costs
• Own and evolve the marketing measurement stack including attribution models, marketing mix modeling, incrementality testing, and brand tracking to set organizational standards
• Build production-grade models for customer lifetime value prediction and demand forecasting that feed live budget allocation and channel mix decisions
• Communicate complex statistical results persuasively to both technical and non-technical stakeholders and drive adoption of recommendations across marketing teams
• Introduce AI-native analytics workflows including agentic data exploration and LLM-assisted causal analysis into everyday team practice

What We're Looking For

Must have:

• 5+ years in data science or analytics with exposure to marketing or growth contexts
• Strong statistical and causal inference foundation including regression, Bayesian methods, and especially incrementality testing—you can design experiments from scratch, select randomization units, calculate power and minimum detectable effects
• Deep understanding of marketing attribution mechanics and the ability to triangulate multi-touch models against incrementality reads
• Advanced SQL and Python skills with comfort working with sparse, high-dimensional advertising data
• Hands-on experience with AI-driven workflows such as prototyping with LLMs, automating pipelines, or AI-powered development environments
• Proactive, outcome-driven approach—someone who picks up projects and drives them from data pipeline through to business recommendation

Nice to have:

• Marketing Mix Modelling experience or strong understanding of the underlying regression techniques
• Machine learning experience in classification, clustering, forecasting, or CLV prediction
• Experience with dbt for data modeling and BI tools such as Looker
• Strong ownership mentality with ability to suggest new projects and expand scope independently
• Ability to quickly learn unfamiliar domains and bridge technical results with business decisions for diverse audiences

How We Work With You

Candidates apply directly through Get A Job.ai. Our talent team will conduct an initial screen to understand your background and ensure alignment with the role requirements. We then submit qualified candidates to our client for their interview process. Please do not attempt to contact the client directly—all communication flows through our recruiting team to ensure a smooth, professional experience.

Pay

Compensation details will be discussed during the screening process based on experience and qualifications.

Location: Berlin

Equal Opportunity: Get A Job.ai is committed to inclusive hiring practices. We welcome applications from candidates of all backgrounds and work to ensure fair, equitable treatment throughout the recruiting process.