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7 days ago
Requirements and responsibilities
Smallpdf is hiring a Data Scientist to build production-ready analytical products that directly influence how millions of users interact with its document platform. If you enjoy combining data science, experimentation, product thinking, and business strategy to solve real-world problems, this role is for you.What you'll doBuild and maintain production data products that power business decisionsDesign, analyze, and evaluate A/B tests and product experimentsDevelop and improve dbt models, semantic data models, and production data pipelinesPartner with Product, Growth, and Engineering teams to solve complex business problemsTranslate data insights into actionable product and business recommendationsImprove data quality, monitoring, and analytical infrastructureHelp evolve experimentation frameworks and future AI evaluation systemsWhat they're looking forSeveral years of experience as a Data Scientist in a product-led or SaaS companyStrong Python and SQL skillsExperience building production-ready data products with measurable business impactSolid understanding of statistics, experimentation, and hypothesis testingExperience with modern data warehouses and transformation tools (dbt is a plus)Experience collaborating with Product, Growth, or Marketing teamsStrong communication skills with both technical and non-technical stakeholders⭐ Bonus:Experience in B2C SaaS or Product-Led Growth (PLG)Experience owning analytical products from concept to productionFamiliarity with Redshift, AWS, GrowthBook, Git, and modern BI toolsWhy join Smallpdf?Build products used by over 17 million monthly users across 195 countriesOwn analytical systems that directly influence product and business decisionsWork in a highly autonomous, product-driven engineering cultureEnjoy 30 vacation days plus sabbatical opportunities16 weeks fully paid parental leaveAnnual learning and development budget of up to 2,000 CHFFlexible remote work with occasional team meetupsRegular hack days, coaching, and knowledge-sharing sessions