Senior Data Scientist

Accountabilities

• Lead business-critical investigations across the customer journey, from acquisition and activation to conversion, monetization, and retention, translating findings into actionable recommendations.

• Analyze marketing channel performance, attribution, and incrementality across SEO, paid search, CRM, and emerging channels to evaluate investment effectiveness and identify growth opportunities.

• Design, implement, and evaluate A/B tests in collaboration with Product and Growth teams, applying statistical analysis, causal inference, and quasi-experimental methods where traditional experimentation is not feasible.

• Build, test, document, and maintain reliable, production-ready data models using SQL, Python, and data transformation tools, ensuring the quality and integrity of analytical foundations.

• Go beyond descriptive reporting to explain business performance, identify underlying drivers, challenge assumptions, and recommend concrete actions that improve business outcomes.

• Investigate unexpected changes in traffic, conversion rates, and customer behavior, developing analytical frameworks, predictive models, and data products that help teams identify and act on opportunities faster.

• Partner with Product Managers, Growth specialists, engineers, and senior leadership to translate ambiguous business challenges into structured analytical approaches and measurable results.

• Take ownership of analytical projects from initial problem definition and data preparation through modeling, interpretation, stakeholder communication, and implementation of recommendations.

Requirements:

• Significant experience in applied Data Science or advanced analytics, ideally within a SaaS, digital product, product-led growth, or marketing-driven business, with a proven ability to influence business decisions.

• Advanced SQL and data modeling skills, including experience designing, building, testing, documenting, and maintaining reliable data models. Familiarity with dbt or similar data transformation tools is highly valued.

• Strong Python programming skills, with the ability to conduct statistical analyses, develop predictive models, and build practical data products.

• Solid knowledge of statistics, experimentation, and causal inference, including experience designing and evaluating A/B tests and selecting appropriate methods for complex analytical questions.

• Experience in Growth or Marketing Analytics, with a strong understanding of acquisition channels, conversion funnels, attribution, incrementality, and customer behavior. Experience analyzing SEO or paid search performance is a plus.

• Strong product and commercial acumen, with the ability to connect metrics to business outcomes, prioritize high-value questions, and identify opportunities for improvement.

• An end-to-end ownership mindset, with the ability to manage the full analytical lifecycle, from raw data and modeling to interpretation, communication, and actionable recommendations.

• Excellent communication and storytelling skills, enabling you to explain complex analytical findings clearly and persuasively to both technical and non-technical stakeholders.

• A curious, proactive, and independent approach, with a willingness to challenge assumptions, explore unfamiliar problems, and go beyond the initial request.

• Professional proficiency in English, with the ability to collaborate effectively in an international working environment.

Nice to have:

• Experience in subscription-based or product-led growth businesses, particularly in conversion optimization, pricing, retention, or customer lifetime value.

• Hands-on experience with marketing incrementality, attribution modeling, Marketing Mix Modeling (MMM), or quasi-experimental techniques.

• Experience developing analytical frameworks or data products that are adopted and used by business teams.

• Previous experience in a lean, high-impact Data team, independently owning both analytical projects and the underlying data models.

• A proven track record of influencing Product, Growth, or Marketing strategy through rigorous analysis and clear, evidence-based recommendations.

Benefits:

• Meaningful business impact: Contribute to a global digital product used by more than 60 million people every month, with your analyses directly informing business performance and growth.

• Autonomy and ownership: Take responsibility for complex analytical challenges from start to finish and see your recommendations translate into real business decisions.

• Collaborative environment: Work closely with experienced Data, Product, and Growth leaders in a team that values curiosity, knowledge sharing, and thoughtful decision-making.

• Remote flexibility: Enjoy a remote working environment across supported European locations, with a hybrid option for team members based in Zurich.

• Generous annual leave: Benefit from 30 vacation days each year.

• Sabbatical leave: Access extended leave after more than two years with the company.

• Parental support: Receive 16 weeks of fully paid parental leave at 100% of salary for all new parents.

• Professional development: Access an annual personal development budget of up to CHF 2,000, plus time off for courses and training.

• Continuous learning: Benefit from internal knowledge-sharing sessions and external coaching opportunities during working hours to strengthen technical and interpersonal skills.

• Innovation opportunities: Participate in dedicated hack days to experiment, collaborate, and develop new ideas.

• International exposure: Work with a diverse, global team in an established digital product environment that combines scale with the agility of a lean organization.