Build the intelligence behind the future of marketing

We're building the future of marketing intelligence. Billy Grace is an AI-driven, product-first SaaS platform that gives brands and agencies control over their entire marketing funnel through first-party tracking, attribution, budget management and creative intelligence. Instead of scattered tools and manual analysis, our platform turns complex marketing data into clear, reliable insights teams can act on.

As a Data Scientist, you help build the intelligence layer behind this product. You work closely with product, engineering and data to develop models, algorithms and analyses that power the platform. Your work doesn't end in a report, the models and systems you build become part of the product and run in production.

No corporate noise. Just real product, real data and real impact.

Your impact

You work at the core of a data-driven SaaS platform at an exciting stage in Billy Grace's growth. Your analyses and models help the platform understand marketing performance, attribution, budget allocation and funnel behaviour. The intelligence you build becomes part of the product and helps brands and agencies make better marketing decisions every day.

In practice, that means turning complex marketing data into reliable insights and models that scale across the platform. You'll be joining a strong, experienced team with a genuine passion for data and product. There's a lot to learn here, from the people around you as much as the problems you'll solve.

What You'll Do

Build models and algorithms that power the platform's insights into marketing performance, attribution, budget management and funnel behaviour.
Develop, deploy and maintain machine learning models and statistical algorithms that power insights within the platform including scalable modelling pipelines that run across clients, not just one-off models.
Select and apply the right statistical methodologies to solve complex product and user questions.
Explore new data sources, modelling techniques and technologies to continuously improve the intelligence of the platform.

What We Offer You

You’ll join a team that builds together, learns together and makes each other better. We’re working on something big with energy, curiosity and plenty of room for your ideas. Here’s what you can expect:

A salary based on your background and experience
A MacBook and a workspace in the heart of Amsterdam (hybrid).
25 vacation days + your birthday off.
Lots of trust, freedom and space for your ideas.
Access to OpenUp for mental health and wellbeing.
An annual volunteer day where we give back together.
Daily lunch, great coffee and an open, warm culture.
Opportunities to learn, experiment and grow.
Enthusiastic colleagues, team drinks and outings that actually make you smile.
Company Ski Holiday!

The Billy Grace Code

Mutual trust is our foundation.

Trust is the default. Direct feedback, clear decisions, we talk to people, not about them.

Leave your ego at the door.

We act in the interest of Billy Grace. We let go of what is not working and choose the mission.

Decide fast, learn fast together.

We move quickly, share insights and improve continuously as a team.

Choose connection over screen.

We choose conversation over chat. Relationships build the company.

Keep it simple, stupid.

Focus on what works. Cut what does not contribute.

Gewoon gezellig.

Energy, fun and celebrating wins together.

What You Bring

2+ years of experience as a Data Scientist or similar role.
Strong experience with Python and modern data processing / modelling libraries like Spark, PyTorch, PyMC, Polars, Pandas and SQL.
A solid mathematical or statistical background.
Experience developing and deploying machine learning models into production, ideally in domains such as attribution modelling, behavioural modelling, forecasting, pricing or marketplace systems.
Fluent in English and comfortable working in a collaborative, product-focused team.
Living in the Netherlands and able to work hybrid (3 days in the office, no IND sponsorship)

Nice to have

Experience with PySpark or large-scale data processing.
Experience with AWS, Databricks or modern data platforms.
Hands-on experience with online marketing data and a solid understanding of how it flows across ad platforms, attribution systems and tracking pixels (campaign performance, funnel analytics, tracking data).

Why Billy Grace

At Billy Grace, you help shape both the product and the engineering culture from the ground up. You’ll work in a focused tech team of five full stack developers, four data scientists and two data engineers. Your managers are hands-on technical leaders who contribute to experiments, models, and data infrastructure alongside you.

In Practice, That Means

Meetings only when they move the work forward, most days are for building, not talking
No corporate theatre no vague roadmaps, buzzwords or politics
Lightweight process we skip heavy Scrum rituals in favour of direct collaboration
Fast decisions, real ownership if you own a feature, you ship it

If you’re done with planning poker, endless standups and process for process’ sake, you’ll feel at home here. Together, we build technology used daily by brands and agencies that want to move fast from Patagonia to XXL Nutrition, and from Draft Digital to Happy Horizon.

Apply

Want to join our team as a Data Scientist – Marketing Intelligence? We’d love to hear from you!

For this role, we are currently not collaborating with external agencies.

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Data Scientist – Marketing Intelligence

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