Senior Data Scientist

Job not on LinkedIn

🔥 2 minutes ago

🇪🇺 Europe – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Smallpdf

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2013

☁️ SaaS

⚡ Productivity

🏢 Enterprise

SaaS • Productivity • Enterprise

Smallpdf is a comprehensive PDF management software that simplifies working with digital documents. It offers a wide range of tools to compress, convert, merge, edit, and e-sign PDFs, among others. The software allows users to manage all their digital documents in one place, supporting various file format conversions and providing features for highlighting, annotating, and organizing PDFs. Smallpdf also ensures secure document handling with encryption and compliance with privacy standards. It caters to both individual users and businesses, providing solutions that enhance document productivity on both desktop and mobile platforms. Trusted by over a billion users, Smallpdf is one of the highest-rated PDF software providers on major B2B platforms.

📋 Description

• Own complex analytical investigations across acquisition, activation, conversion, monetization, and retention • Analyze marketing channel performance, attribution, and incrementality across SEO, paid search, CRM, and emerging channels • Help teams understand the impact of marketing investments and improve decision-making • Partner with Product and Growth teams on A/B testing, experiment design, and statistical evaluation • Apply causal inference and quasi-experimental methods when traditional experimentation is not possible • Develop, test, document, and maintain production-ready data models using SQL, Python, and data transformation tools • Explain performance drivers, challenge assumptions, and recommend concrete actions • Investigate unexpected changes in traffic, conversion, and customer behavior • Develop analytical frameworks, predictive models, and data products • Collaborate with Product Managers, Growth specialists, engineers, and leadership • Translate ambiguous business challenges into structured analytical approaches and measurable outcomes • Report to the Head of Data and collaborate with Growth and Product leadership

🎯 Requirements

• Strong experience in applied Data Science or advanced analytics, ideally in SaaS, product-led growth, digital product, or marketing-driven businesses • Advanced SQL and data modeling skills • Experience designing, building, testing, and maintaining reliable data models • Experience with dbt or similar data transformation tools highly relevant • Strong Python skills • Ability to perform statistical analyses, develop predictive models, and build practical data products • Solid foundations in statistics, experimentation, and causal inference • Experience designing and evaluating A/B tests • Experience with Growth or Marketing Analytics • Understanding of acquisition channels, conversion funnels, attribution, incrementality, and customer behavior • Strong product and commercial thinking • End-to-end analytical lifecycle ownership, from raw data and modeling to interpretation and recommendations • Excellent communication skills • Curiosity, initiative, and proactive mindset • Experience with subscription-based or product-led growth businesses, conversion, pricing, retention, or customer lifetime value is a standout qualification • Experience with marketing incrementality, attribution modeling, Marketing Mix Modeling, or quasi-experimental techniques is a standout qualification • Experience building analytical frameworks or data products adopted by business teams is a standout qualification • Experience independently owning analytical work and underlying data models is a standout qualification • Demonstrated ability to influence Product, Growth, or Marketing strategy through rigorous analysis and clear recommendations • Must be based in an eligible European location • Must be able to work without visa sponsorship • CV must be submitted in English

🏖️ Benefits

• Remote work environment with occasional team meetups • Hybrid option for team members based in Zurich • 30 vacation days • Sabbatical leave after more than 2 years of employment • 16 weeks parental leave at 100% of salary for all new parents • Personal development budget of up to 2000 CHF per year • Days off for courses or training • Internal knowledge sharing and external coaching during working hours • Hack days • Opportunity to impact a global product used by over 60 million people monthly • Autonomy to own work end to end • Collaborative environment with Data, Product, and Growth leaders