Marketing Data Scientist
NeoTaste
full-time
Posted on:
Location Type: Hybrid
Location: Berlin • Germany
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About the role
- Build a trustworthy, decision-ready view of marketing performance across channels, campaigns, creatives, geographies, and user cohorts.
- Design, build and continuously improve NeoTaste’s Marketing Mix Model (MMM) to support budget allocation, incrementality estimation and marginal ROI analysis.
- Establish clear and consistent measurement standards for CAC, LTV, payback periods and cohort-based performance tracking.
- Integrate and reconcile data from multiple sources, including MMPs, ad platforms, app analytics, subscription and revenue backends, CRM systems, and our own data sources.
- Identify high-signal product events that predict conversion, retention and long-term value, and translate them into actionable marketing and CRM levers.
- Enable data-backed budget decisions by clearly communicating what is incremental, what is uncertain, and where spend should be increased or reduced.
- Partner closely with the wider Marketing, Product, Engineering Teams to improve tracking architecture, event schemas and data joinability.
- Continuously improve NeoTaste’s measurement maturity, turning data quality and experimentation into a long-term competitive advantage.
Requirements
- You’re a hands-on data scientist with a strong marketing mindset: You enjoy working on messy, real-world data problems and take ownership of building reliable truth.
- You’re technically strong: You work confidently with SQL, Python or R, data modeling, and complex joins across multiple data sources.
- You understand marketing economics: You have a deep grasp of CAC, LTV, cohorting, payback and attribution limitations - especially in an iOS-privacy-driven world.
- You combine product analytics with data science: You can identify predictive signals in user behavior and translate them into concrete marketing actions.
- You’re comfortable with causal thinking: You can design incrementality approaches using MMMs, experiments, geo-lift or holdouts and clearly explain trade-offs.
- You influence decisions: You make analysis legible, trusted and actionable, and you’re comfortable pushing back when metrics are misleading.
- You’re proactive about data quality: You don’t just report problems, you challenge schemas, propose improvements and work with Engineering to ship fixes.
- Bonus points for: having built a Marketing Mix Model end-to-end in a previous role and/or have experience in subscription-based, mobile or B2C products.
Benefits
- Remote work and trust working time - Work from where you feel most productive and start and end your day in a way that fits your own schedule.
- Sports & wellness benefits - Use Urban Sports or Hussle to stay active and recharge.
- Learning & Development Budget - Take ownership of your individual learning goals and your growth journey.
- Work equipment - You will receive high quality technical equipment from Apple.
- Extra holiday days - Get two extra days off on 24th and 31st December, regardless of the country you’re based in.
- NeoTaste for yourself and a friend - Enjoy a NeoTaste subscription and share your passion for food with others.
- Company offsites and regular team events – Be part of virtual and in-person events with the whole team to meaningfully connect with your co-workers.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLPythonRdata modelingcomplex joinsMarketing Mix Model (MMM)incrementality estimationmarginal ROI analysiscohort-based performance trackingdata integration
Soft skills
ownershipinfluencing decisionsproactivecomfortable with causal thinkingcommunicationproblem-solvinganalytical thinkingcollaborationdata quality improvementtrust-building