Product Data Scientist – SaaS

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

📋 Description

• Transform data into actionable analyses, insightful recommendations, and experiments that assess value creation.

• Critique and enhance the design and analysis of A/B tests.

• Develop a solid experimentation framework that encompasses hypotheses, metrics, statistical power, duration, and decision-making rules.

• Create and evaluate test plans in collaboration with teams, then interpret results and suggest decisions.

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

• Analyze funnels and cohorts to pinpoint friction points and propose significant hypotheses or tests.

• Partner with the Payments team to assess transaction performance and risk.

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

• Formulate LTV, acquisition cost, and payback analyses.

• Enhance the application of value signals in advertising platforms and assess their impact.

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

• Ensure data integrity and synchronize metric definitions with the Data Analyst and Data Engineer.

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

⛳️ Requirements

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

• Background in managing high-traffic products or large data sets in SaaS, subscription, e-commerce, or a similar field.

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

• Strong grounding in statistics and statistical inference.

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

• Advanced skills in SQL and Python for data analysis and statistical tasks.

• Experience with funnel and cohort analysis, retention, and customer value assessment.

• Familiarity with data warehouses and product analytics tools.

• Fluent in French.

• Proficient in English at a B2 level or above.

🏝️ Benefits

• €200 monthly coworking budget.

• Flexible paid time off.

• Flexible working hours.

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

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

• Two company retreats annually.

• For employees based in Lausanne: modern offices, access to sports facilities, parking, and assistance with commuting expenses.

• Opportunities for professional development.

• A culture that fosters innovation.

• Career advancement opportunities.

• An inclusive work environment.