Senior Marketing Data Scientist (m/w/d) in Berlin

Job Description

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.

Qualifications

• 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.

Additional Information

• 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.

Start date: As of now

Working time: Full-time