Marketing Data Scientist

NeoTaste; Remote; EUR 50.000 - 80.000; Vollzeit

Zusammenfassung

A growing food-tech company based in Berlin is seeking a Marketing Data Scientist to develop their marketing measurement systems. The ideal candidate will transform complex data into actionable insights, design Marketing Mix Models, and improve overall marketing performance. Responsibilities include integrating diverse data sources and establishing standards for various marketing metrics. We're looking for someone with practical data science experience, strong SQL and Python skills, and a comprehensive understanding of marketing economics, who thrives in a remote work environment.

Leistungen

Sports & wellness benefits

Learning & Development Budget

Work equipment from Apple

Extra holiday days

NeoTaste subscription benefits

Company offsites and team events

Qualifikationen

• Enjoy working with messy, real-world data problems.
• Confidently handle SQL, Python, or R for data modeling.
• Understand CAC, LTV, and cohorting limitations.
• Identify predictive signals in user behavior.
• Design incrementality approaches and explain trade-offs.
• Challenge existing schemas and propose improvements.

Aufgaben

• Build a reliable view of marketing performance.
• Design and improve Marketing Mix Model (MMM).
• Establish measurement standards for marketing metrics.
• Integrate data from multiple sources.
• Identify high-signal product events.
• Communicate budget decisions based on data.

Kenntnisse

Hands-on data science

SQL proficiency

Python or R expertise

Understanding of marketing economics

Causal thinking

Data quality improvement

Jobbeschreibung

Let us give you a taste

Join us in revolutionizing the food-tech industry and become a part of one of the fastest-growing restaurant-discovery platforms.

Your mission

The mission of the Marketing Data Scientist is to build NeoTaste’s marketing measurement and optimization engine, enabling us to reliably attribute acquisition, model incrementality, and to continuously optimize CAC versus LTV across channels, cities, and cohorts.

You will turn complex, imperfect data into decision-grade insights that actively shape how we allocate budget, launch cities, and scale growth. You will:

• 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.

Your profile

• 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

Why us?

• Big impact - Your work will directly influence how millions of euros in marketing budget are allocated and how NeoTaste scales across Europe.
• 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.

Sounds good?

Does this description fit you? Send us a short message explaining why you are the right person for the job! We are looking forward to your application.

About us

At NeoTaste we develop theplatform for you to discover new restaurants in your city. As a user, you can enjoy special deals that are exclusive to us and allow you to discover the culinary diversity of the city.

On the other hand, we are also thepartner for restaurants to win new customers who do not yet know their go-to food place. The restaurants can adjust their special deals individually to their capacity, which helps them increase their occupancy and thus their revenue.
We are looking for enthusiastic and motivated team players who are eager to build something great with us.

• We're present in over 50 cities in the DACH region, the Netherlands & the UK and are expanding into Europe
• More than 2 million users love our app
• We're a team of just under 100 employees
• We have raised €21Million in funding over the last two years