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This job has been archived and is no longer active.
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.
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.
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.
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
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.
🌍 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.
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.
Archived on: 8/17/2026
Smallpdf
Sign.com is a beautifully simple e-signature tool for small teams. Our mission is to make signing and managing documents effortless, elegant, and accessible to everyone.
Data Scientist
