Marketing Data Scientist

Breeze; Rotterdam; Hybrid; EUR 56,000 - 78,000; Full time

Benefits offered by this job

Hybrid work (3 days/wk)

Travel costs covered

High-end tools provided

Ergonomic workspace

25 paid vacation days

8% holiday allowance

Job summary

Breeze is seeking a Marketing Data Scientist to uncover what marketing drives and to build the data foundation that allocates every euro to drive new daters. You will own the measurement setup, build production-ready pipelines, and deliver dashboards for market owners across the Netherlands.

The role requires a strong quantitative background, causal inference expertise, and a hands-on approach to SQL and Python.

Qualifications

• Minimum 2 years of experience in data science, analytics engineering or data engineering.
• Marketing or mobile app measurement experience is a plus.
• Fluent English speaker.
• Willing to relocate to the Netherlands.

Responsibilities

• Own end-to-end measurement and analytics for marketing impact.
• Build data pipelines from ad platforms into data warehouse.
• Develop dashboards and tools for market owners.
• Design tests and run incrementality experiments.

Skills

Generalist data scientist

Causal inference

Experimentation

SQL

Python

Data pipelines

Dashboarding

Ownership

English fluency

Tools

SQL

Python

Airflow

BI dashboards

Job description

We are looking for a Marketing Data Scientist.
You help us uncover what our marketing truly drives, and build the data foundation that puts every euro where it brings in the most new daters.

About Breeze

At Breeze, we are building towards a future where people spend less time on their phones and more time offline, face-to-face.

Breeze is the dating app for real dates. We've built the world's first service that organizes actual offline dates at scale. An integral part of Breeze is that users skip the online chat. Once you match on Breeze, you fill in a date picker and you meet your date in real life at one of our partnered bars.

Since launch, we’ve already organized over 900,000 real-life dates (and counting!) across The Netherlands, Germany, Belgium, France, the UK, Ireland and New York.

About the role

On a dating app, growth is something users feel directly. Every new person on Breeze is another potential date for someone in their city. More people means more compatible profiles, and dates that are more likely to lead somewhere. So bringing the right people to Breeze, efficiently, matters for everyone who uses it.

That’s where you come in. Platform dashboards over-credit some channels and miss others, and what works keeps shifting with creative, competition and saturation. We’ve already run incrementality tests that changed how we spend: geo holdouts, Bayesian time series models and budget tests. Now we want that to run continuously, on a data foundation we can trust. We expect full ownership: you design the tests, build the pipelines, and make sure the results end up in how we allocate budget every month.

Concretely, you would:

Find out what works

• Run incrementality tests across our core markets every quarter
• Turn results into incremental CAC and saturation curves per channel and market, and feed them into the budget allocation
• Combine experiments with modelling, such as an MMM calibrated with our tests, where it adds value, including for understanding the effect of brand investments

Build the data foundation

• Own the pipelines from ad platforms and other sources into our data warehouse
• Set up alerts that flag anomalies or broken tracking before they cost us
• Build the dashboards and tools our market owners use every day to keep on top of performance

Own the measurement setup

• Own the MMP and app event set-up, both S2S and through SDKs
• Keep measurement reliable as privacy rules, iOS and new markets keep changing the game

About you

• You’re a talented generalist data scientist. You have a strong quantitative foundation (statistics, econometrics, computer science, physics or similar), and you move easily between modelling, engineering and analysis. You learn new domains fast and enjoy figuring things out from first principles. This is the first thing we’ll look at - high talent density is our #1 priority.
• You have solid grounding in causal inference and experimentation: geo holdouts, diff-in-diff, Bayesian time series, MMM. You know where these methods break, especially in small, noisy markets.
• You’re a hands‑on builder. You write production‑quality SQL and Python, build pipelines and dashboards, and are familiar with DevOps best practices. You don’t need a data engineering team to get the data you need.
• You’re AI‑native. Tools like Claude Code or Codex are part of how you work every day to make yourself as productive as you can be.
• You have commercial sense. You care about the decision a result leads to, not just the analysis. This also means an MVP first way of working and shipping fast.
• You’re reliable and take ownership: you spot problems and opportunities and act on them without being asked.
• You have at least 2 years of experience in data science, analytics engineering or data engineering. Marketing or mobile app measurement experience (MMPs, CAPI, SKAN) is a big plus, but not a requirement.
• Fluent English speaker.
• Living in (or willing to relocate to) the Netherlands

What Breeze offers you

Compensation & Benefits

• Competitive Salary: €5000 - €7000 per month
• Benefit from our Success: Post half-year contracts, gain the option for share options, aligning your growth with ours.
• Holidays: Enjoy 25 paid vacation days (8% holiday allowance include in yearly compensation)

Practicalities & Perks

• Flexibility: Hybrid (3d/wk at the office) work environment with flexible hours
• Travel: Office right next to Rotterdam Central; travel costs covered
• Gear: Necessary high‑end tools and ergonomic workspace provided
• Holidays: 25 paid vacation days plus an 8% holiday allowance

Growth & Culture

• Dynamic workplace: Fast‑paced environment with swift decision‑making, often challenging the status quo and each other
• Empowered growth: Gain a lot of responsibility in a fast‑growing startup. Many lessons guaranteed. Freedom and budget available for additional learning.
• Mission‑driven team: Join a young and ambitious team redefining online dating.