Product Data Scientist – SaaS

This is a fully remote position, open to applicants in Switzerland.

📋 Description

• Transform data into dependable analyses, actionable insights, and experiments that assess value generation.

• Question current A/B testing methodologies and enhance the experimentation framework.

• Develop hypotheses, choose metrics, compute statistical power, define test length, and set decision criteria.

• Create and evaluate test plans with teams prior to execution.

• Assess results once they have matured, clarify their limitations, and suggest subsequent actions.

• Advance experimentation techniques and tools to enable teams to operate autonomously.

• Investigate acquisition, conversion, usage, payment, and retention data.

• Analyze funnels and cohorts, pinpoint friction areas, and propose impactful hypotheses or tests.

• Partner with the Payments team on analyses and experiments concerning transaction performance and risk.

• Evaluate customer value by cohort, acquisition channel, product, or segment.

• Enhance LTV, customer acquisition cost, and payback analyses.

• Collaborate with the Data Engineer to optimize the use of value signals on advertising platforms and assess their impact.

• Convert inquiries from leadership and teams into suitable analyses and study protocols.

• Ensure data accuracy and synchronize on consistent metric definitions with the Data Analyst and Data Engineer.

• Present results, uncertainties, and recommendations to both technical and business stakeholders.

⛳️ Requirements

• 3–5 years of experience in product data science, growth, or a similar analytics position.

• Experience with a high-traffic product or handling large data volumes in SaaS, subscription, e-commerce, or a similar field.

• Practical experience in designing and analyzing experiments, utilizing data to enhance product or business performance.

• Familiarity with marketing data, user interactions, or payments is advantageous.

• Strong understanding of statistics and statistical inference.

• Expertise in experiment design and analysis, including hypotheses, statistical power, multiple testing, metrics, and cohort maturity.

• Advanced proficiency in SQL and Python for data analysis and statistics.

• Experience with funnel and cohort analysis, retention, and customer value; knowledge of LTV modeling is beneficial.

• Familiarity with data warehouses and product analytics tools.

• Fluency in French is mandatory.

• Minimum B2 level of English proficiency.

• Three-month notice period is acceptable.

🏝️ Benefits

• €200 monthly coworking budget.

• Customized vacation policy.

• Flexible working hours.

• Ability to work remotely from a different time zone for one month.

• Equipment budget for a laptop, desk, chair, monitor, and headset.

• Two company seminars annually.

• For employees located in Lausanne: modern office space, access to sports facilities, parking, and a contribution towards commuting costs.

• Opportunities for professional development.

• Potential for career advancement.

• Option to work remotely from anywhere in Europe.