Senior Marketing Data Scientist (m/w/d)
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Summary
Senior Marketing Data Scientist in Berlin who designs and leads paid-media experimentation (A/B tests, holdouts, causal inference) across channels like Google, Meta, TikTok and programmatic. They analyse incrementality, attribution and long-term value using SQL/Python/R, and translate findings into media-spend and budget recommendations.
Experimentation Strategy & Test Design
- Develop and lead a structured testing strategy for paid media, ensuring experiments provide insights into incrementality, efficiency, and channel optimisation.
- Design and implement causal inference methodologies, including A/B tests, holdouts, and time-based experiments across major platforms (Google, Meta, TikTok, Programmatic, etc.).
- Partner with Marketing Analytics and Data Science teams to integrate best practices in media measurement, attribution, and statistical modelling.
- Stay ahead of emerging trends in marketing measurement and experimentation, ensuring our testing framework evolves with industry advancements.
Data Analysis & Business Insights
- Analyse experiment results to determine statistical significance, incremental impact, and long-term value for brand awareness, consideration, and conversion outcomes.
- Develop frameworks for aggregating test results, benchmarking, and meta-analysis to drive strategic decision-making.
- Collaborate with marketing and media teams to translate test findings into actionable insights that optimise media spend and performance.
- Communicate data-driven recommendations to influence budget allocation and investment strategies.
Testing Roadmap & Knowledge Management
- Develop a prioritised testing roadmap, aligned with marketing objectives, budget cycles, and innovation needs.
- Maintain a centralised knowledge hub for past experiments, key learnings, and best practices, ensuring consistent methodologies across teams.
- Educate stakeholders on incrementality measurement, attribution models, and the difference between platform-reported results and true business impact.
- Expertise in marketing measurement and experimentation, with hands-on experience in incrementality testing, causal inference, and media analytics.
- 5+ years of experience in marketing analytics, media measurement, or data science, preferably within digital marketing, media agencies, or ad tech.
- Strong knowledge of A/B testing, Lift Studies, regression modelling, and advanced measurement techniques.
- Experience working with large-scale paid media data across performance and brand marketing campaigns.
- Proficiency in SQL, Python, R, or similar analytics tools (a strong plus).
- Excellent communication skills, with the ability to translate complex data into clear business recommendations for senior stakeholders.
⭐️ Benefits
- Flexible hybrid working model, allowing for 60% (or more) remote work each week, tailored by each team for optimal collaboration.
- Opportunity to work remotely from abroad for up to 30 working days each year.
- Starting with 27 vacation days per year.
- Available relocation assistance, subject to prior agreement.
- Access to family services, including counselling and support.
- A variety of health and wellbeing options, including access to Wellhub.
- Comprehensive mental health support and coaching.
📐 Application Details
Start date: As of now
Working time: Full-time
Application documents: CV
