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 where you can combine engineering, statistics, product thinking and business impact, you'll enjoy this.

What you'll do

Own production data products

You'll maintain and evolve analytical systems that directly power business decisions, including our marketing automation pipeline and core semantic data models.

Design and analyze experiments

Work closely with Product and Growth teams to design experiments, define success metrics, analyze outcomes and recommend next steps.

Build reliable analytical foundations

Develop dbt models, improve data quality, monitor production pipelines and ensure stakeholders trust the data they use every day.

Solve ambiguous business problems

You'll rarely receive perfectly defined tasks. Instead, you'll partner with stakeholders to understand problems, explore data, identify opportunities and propose solutions before anyone asks.

Turn data into decisions

Communicate insights clearly to technical and non-technical audiences, helping teams prioritize what matters most.

Continuously improve our data platform

You'll work with Data Engineers to improve our analytical infrastructure, semantic layer, experimentation framework, as well as future AI evaluation systems.

What we're looking for

You probably have

Several years of experience as a Data Scientist in a modern product company.

Strong Python and SQL skills.

Experience building production data products that drove real business impact - not just notebooks.

Solid understanding of experimentation, statistics and hypothesis testing.

Experience working with modern data warehouses and transformation tools (dbt is a plus, not a requirement).

Experience partnering directly with Product, Growth or Marketing teams.

You'll stand out if you

Love understanding products and users.

Naturally investigate anomalies instead of ignoring them.

Enjoy solving messy, ambiguous problems.

Care about shipping useful work rather than perfect work.

Can explain complex technical topics to non-technical stakeholders.

Have owned analytical products from idea through production.

Have experience working in B2C SaaS or product-led growth environments

Our tech stack

You'll work with technologies such as:

Python

SQL

dbt

Redshift

GrowthBook

AWS

Git

Modern BI and analytics tooling

Experience with every tool isn't required - we value strong fundamentals over matching our exact stack.

Why join Smallpdf?

Where innovation meets impact!

Becoming part of our team means more than just taking a job - it’s joining a dynamic, collaborative environment where your voice matters, your growth is championed, and your work truly makes a difference.

Here, we don’t just talk about a growth mindset - we live it. You’ll thrive in a culture that balances professional ambition with personal well-being, where flexibility, creativity, and purpose come together. Whether you're shaping the future through groundbreaking projects or leveling up your skills, your journey here will be one of impact, innovation, and continuous learning. This reflects in our company values.

Our Benefits

🌍 You get to impact the way over 60 million people get work done every month.

🚀 Push boundaries and dare to fail - that’s how we learn!

💻 Enjoy the flexibility of a remote work environment, and meet your team

occasionally to work together and strengthen the team bond.

🏝️ 30 vacation days - yep, you read that right - that you can take whenever you need them.

🧳 Need a long break? We offer sabbatical leave to employees who’ve been with us for over 2 years.

👶 16 weeks parental leave - 100% of your salary - for all new parents

📚 A personal development budget of up to 2000CHF every year, plus days off for courses or training.

🤓 Internal knowledge sharing and external coaching options during your working hours to boost both your hard and soft skills.

👩‍💻 Hack days to challenge you and your team, plus build amazing things.

How to Apply

Please apply using the form below and upload your CV - in English, as it’s the standard working language at Smallpdf. A PDF format is preferred.

Compensation philosophy

At Smallpdf, we believe compensation should be fair, transparent and thoughtfully aligned with the value each person brings to our team. Our approach balances several key factors - current market trends, role expectations, seniority, experience, and geographic location - to ensure every offer is both competitive and equitable.

We review our salary ranges regularly to stay in step with the evolving market, and we make decisions based on skills, impact, and responsibility rather than negotiation strength. Our goal is simple: to recognize and reward great work, support long-term growth and create a compensation structure that feels fair, consistent and grounded in integrity.

We want everyone at Smallpdf to feel valued, supported and empowered to do their best work - and our compensation philosophy is designed to reflect exactly that.

Hiring policy

Smallpdf is an equal-opportunity employer, and we believe our strength comes from a team that reflects a wide range of backgrounds, identities, perspectives, and lived experiences. We welcome applicants of all genders, ethnicities, ages, abilities, orientations, and life paths. You’ll also have the option to share your pronouns and answer an anonymous demographic questionnaire when you apply. This information is completely voluntary, but it helps us stay accountable in building an inclusive and equitable hiring process.

We use AI thoughtfully in our day-to-day work, but we value human curiosity, creativity, and integrity above all. We’re excited to meet candidates who bring genuine expertise, real stories, and authentic experience to the table.

Data Scientist: Product & Analytics

Anywhere in the world

Remote

Mid-level

Smallpdf