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Smallpdf
Smallpdf
51 – 200 Employees
EnterpriseProductivitySaaS
Smallpdf is a SaaS company focused on productivity and enterprise document workflows. Its PDF software helps individuals and businesses compress, convert, merge, edit, annotate, organize, and e-sign digital documents, with support for common file-format conversions across desktop and mobile. The platform also includes document security features such as encryption and privacy-focused handling, giving teams a central way to manage everyday PDF tasks.
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Senior Data Scientist - Europe Remote

Join Smallpdf as a Senior Data Scientist supporting experimentation, causal inference, predictive modeling, and growth analytics across its global digital document platform. Your work will inform product and marketing decisions through robust models and practical analysis.

EUEuropean UnionRemoteFull-timeSeniorEnglish RequiredData Scientist
PythonSQL

Description

  • Lead complex analyses spanning acquisition, activation, conversion, monetization, and retention
  • Assess performance, attribution, and incrementality across SEO, paid search, CRM, and emerging marketing channels
  • Help teams measure the effects of marketing investment and make better-informed decisions
  • Work with Product and Growth teams to design A/B tests and evaluate results statistically
  • Use causal inference and quasi-experimental approaches when conventional experiments are unavailable
  • Build, validate, document, and maintain production-ready models with SQL, Python, and data transformation tools
  • Clarify performance drivers, question assumptions, and turn findings into specific recommendations
  • Investigate unexpected shifts in traffic, conversion, and customer behavior
  • Create analytical frameworks, predictive models, and data products
  • Partner with Product Managers, Growth specialists, engineers, and senior leaders
  • Turn unclear business questions into structured analyses with measurable outcomes
  • Report to the Head of Data while partnering with Growth and Product leadership

Requirements

  • Substantial applied Data Science or advanced analytics experience, preferably in SaaS, product-led growth, digital product, or marketing-led organizations
  • Advanced SQL and data modeling capability
  • Experience designing, developing, testing, and maintaining dependable data models
  • Practical experience with dbt or comparable data transformation tools
  • Strong Python programming skills
  • Ability to conduct statistical analyses, create predictive models, and deliver useful data products
  • Strong grounding in statistics, experimentation, and causal inference
  • Experience designing and assessing A/B tests
  • Background in Growth or Marketing Analytics
  • Understanding of acquisition channels, conversion funnels, attribution, incrementality, and customer behavior
  • Strong commercial awareness and product judgment
  • Ability to own the full analytical process, from raw data and modeling through interpretation and recommendations
  • Excellent written and verbal communication
  • Curious, self-directed, and proactive approach
  • Experience in subscription or product-led growth businesses, including conversion, pricing, retention, or customer lifetime value, is a notable advantage
  • Experience with marketing incrementality, attribution modeling, Marketing Mix Modeling, or quasi-experimental methods is a notable advantage
  • Experience creating analytical frameworks or data products adopted by business teams is a notable advantage
  • Experience independently owning analytical projects and the supporting data models is a notable advantage
  • Proven ability to shape Product, Growth, or Marketing strategy through rigorous analysis and clear recommendations
  • Must reside in an eligible European location
  • Must be able to work without visa sponsorship
  • CV must be submitted in English

Benefits

  • Remote-first working environment with occasional team meetups
  • Hybrid working option for team members located in Zurich
  • 30 days of vacation
  • Sabbatical leave after more than two years of employment
  • 16 weeks of parental leave at full salary for every new parent
  • Annual personal development budget of up to 2000 CHF
  • Time off for courses and training
  • Internal knowledge sharing and external coaching during working hours
  • Dedicated hack days
  • Chance to influence a global product used by more than 60 million people each month
  • Autonomy to manage work from start to finish
  • Collaborative culture alongside Data, Product, and Growth leaders

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