Data Scientist: Product & Analytics
ABOUT SMALLPDF
Smallpdf was founded in 2013 with one simple belief: working with documents shouldn't be complicated.
What started as an easier way to compress PDFs has grown into one of Europe's largest product-led technology companies. Today, more than 17 million people use Smallpdf every month, our products have been used by over 1.1 billion users across 195 countries, and every day we power millions of document workflows - from PDF conversion and editing to e-signing and AI-powered document tools.
Our success came from rethinking an established market. Instead of building complex software for experts, we broke document management down into simple jobs to be done - compress a PDF, merge files, convert documents, collect signatures - and made those experiences intuitive for everyone. That product philosophy continues to shape how we build today.
For a Data Scientist, this creates an unusually interesting environment.
Every month, millions of users interact with our products across acquisition channels, pricing, subscriptions, experimentation, product adoption, search, and AI-powered experiences. Every feature launch, monetization decision, and product improvement generates signals at a scale that allows us to test ideas, validate hypotheses, and continuously improve the user experience through data.
ABOUT THE ROLE
This isn't a traditional Data Scientist role. You won't spend your days optimizing machine learning models in notebooks or publishing research. Instead, you'll own analytical products that directly influence how millions of users experience Smallpdf.
You'll work across Product, Growth and Engineering to:
- design experiments
- improve decision making
- own production analytical systems
- build reliable data products
- uncover opportunities hidden in data
- translate complex analyses into business impact
You'll be joining a small, highly autonomous team where everyone owns outcomes rather than tasks.
If you're looking for a role...