Data Scientist

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We are looking for a Data Scientist who can help our teams to deal with data

Join our Growth team in Amsterdam.


Data Scientist at WeTransfer

Every day, millions of people rely on WeTransfer to share their creative ideas, this means we deal with a lot of data. We are currently building a Growth team to help support our strategies and ideas with crystal clear data so that our decisions are based on our users and for the right reasons. 

As a Data Scientist in our Growth team, you will have the opportunity to leverage rich data that is used by more than 40 million users and propel the growth of our business. You will collaborate with engineers, analysts, product managers in building features, algorithms, and determine metrics which are critical for machine learning models.

What better way to show what it is like to work here, than to ask our Head of Growth explain a week in the Growth team. 


Head of Growth


Monday’s are all about starting the week off strong. The Growth team is responsible for the entire funnel, from brainstorming ideas to kicking off experiments. Next to number crunching, Monday's are also for our weekly brainstorm sessions where we come up with new experiment ideas.

Weekly updates are also given to the Management Team on key growth metrics to vet how we’re performing relative to our annual targets. 


We typically prioritise new experiments early in the week and they have a tendency to fall on Tuesday’s. We clearly hash out the problem we’re trying to solve and start to discuss how we can go about solving it in a multidisciplinary setting.

While we are jump starting new initiatives, we are also constantly adding new ideas as inspiration strikes to our idea pipeline, which houses potential experiments to be run. Some questions we consider when adding ideas to our pipeline of potential experiments are: how do we improve the virality of our offering? How can we increase the branching factor? How can we better convert receivers of transfers into active senders? 

impact the experience of millions of users around the world.


When we have a set of growth experiments selected, we prepare them into our Growth Experiment Flow. This involves asking the right questions up front, analysing the data which will become the basis of our hypothesis. Since we touch a lot of the product features, we need strong alignment between all those involved, people in Design, Tech, Customer Support, and Marketing.

I really thrive on being in a design led business, surrounded by creative minds and opportunities to build our community. Our initiatives are driven and informed by the insights we collect from our experiments and its great to see our work influence the direction of our product.


Every Thursday morning we have a company wide meeting over breakfast where we briefly highlight and discuss the latest happenings in the different teams along with a couple of key company goals that have been set for the year. For growth, we discuss how our monthly active users are trending over the past month relative to same period the year prior. We add in some commentary on some initiatives we’ve got running at the moment, a few experiments we’ve got in the pipeline, and the high level takeaways of last week’s projects.

Aside from the breakfast meeting, we make sure to keep the trains running full steam ahead. That can range anywhere from clearing blockers that are holding up certain experiments from launching to continuing to optimise our process within the team. From ideation to pushing initiatives out the door to continue to boost our experimentation velocity. 


If there’s such a thing as tying up loose ends, we’ll do our best to close the week in a tidy way so that we can pick up right where we’ve left off on Monday. We have a get-together where we take note of the latest status of existing experiments and those that have launched that week. The key events of the week are jotted down in our event log to make sure we can best attribute changes to our core growth metrics going forward. 🚀

We are looking for someone with:

  • Experienced in developing algorithms at scale from inception to business impact.
  • Advanced degree in quantitative field.
  • Deep understanding of modern machine learning techniques and their mathematical underpinning, such as classification, recommendation systems and natural language processing.

Even better if you have:
  • Experience with distributed machine learning and computing framework (Spark or equivalent). Applied experience preferred.
  • Strong programming skills (R, Python preferred) and knowledge of SQL

A little something about us

We are a technology company rooted in the creative industry. Our founders originally worked in design, media and marketing; today we’re lucky to be working with the most creative minds in branding, sales, design, support and engineering.

Our Amsterdam office sits right by the river in the east of the city. We aim for a healthy balance between work and play, from workshops and conference outings to gym memberships and Friday afternoon drinks. We value good food too, from fresh lunches to our never-empty cookie jar.

We believe a diverse company is a better company. Whatever your story, we want to hear from you. Whatever your background, we’ll help you do your best work.

All employees get a €1,000 personal development budget every year to learn new skills, or improve existing ones. 

Like how we work?

Apply now, fill in the form, even if you’re unsure. Give it a go.