Data Scientist, Product Analytics

Sonar Source
Geneva
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: ["Analytical thinking","Communication","Stakeholder management","Proactivity","Collaboration"]

Own the product-usage analytics lifecycle inside the Data & Insights “Mission Control” team. Understand how customers adopt and use the product, connect usage to customer and sales outcomes, define usage-based signals and health metrics, and validate what matters through experiments. Partner with Data & Analytics Engineers to build the data foundation, then communicate insights and decisions clearly to stakeholders to drive activation, retention, and expansion.

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FursaFursa
Sonar Source
Sonar Source
5 days ago

Data Scientist, Product Analytics

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Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Own the product-usage analytics lifecycle inside the Data & Insights “Mission Control” team. Understand how customers adopt and use the product, connect usage to customer and sales outcomes, define usage-based signals and health metrics, and validate what matters through experiments. Partner with Data & Analytics Engineers to build the data foundation, then communicate insights and decisions clearly to stakeholders to drive activation, retention, and expansion.
Location: Geneva
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Understand product usage by working with product managers to analyze adoption, engagement, feature usage, and retention patterns.
  • •Connect usage to outcomes by linking product usage data with customer and sales/CRM data to assess expansion, churn risk, and account health.
  • •Define usage-based signals, including building the logic for usage scoring, health indicators, and metrics driving activation, retention, and expansion.
  • •Run experiments and validate which usage signals predict outcomes using sound statistical methods.
  • •Partner on the data foundation with Data & Analytics Engineers to model product usage alongside customer and sales data, and communicate insights to stakeholders.

Key Requirements

  • •Strong analytical track record influencing product, revenue, or GTM decisions through analysis, not just reporting.
  • •Solid SQL experience to independently query, join, and explore data.
  • •Proficiency in Python for analysis, modeling, and automation, including experience with ML/statistical libraries such as scikit-learn and statsmodels.
  • •Statistical foundation across experimentation, significance testing, regression, segmentation, forecasting, and knowing which methods apply.
  • •Comfort building usage-based models by exploring messy data and partnering on (or building) the models needed.
Skills:Analytical thinkingCommunicationStakeholder managementProactivityCollaboration
Tech Stack:SQLPythonScikit-learnStatsmodelsDbtMLProduct usage analyticsExperimentation

Company Brief

Sonar Source
Builds static code analysis and continuous inspection tools (SonarQube, SonarCloud, SonarLint) that identify bugs, vulnerabilities, and code smells across multiple languages to help teams improve code quality and maintainability.
Industry: Developer Tools
Company Size: Large (251 to 1,000 employees)
Growth: Established Company
Headquarters: Geneva, Switzerland
Founded: 2008
WebsiteLinkedIn