Sonar

Data Scientist, Marketing Analytics

Sonar
CH Genève, GE, CH
Onsite 2026-06-27
Estimated salary · Geneva
~ CHF 98,900 - CHF 135,200
Low
CHF 98K
Median
CHF 115K
High
CHF 135K
Market in Geneva · BFS 2025

Job description

**Who is Sonar?** Sonar is driving the future of agent\-centric software development. As the leader in AI code verification and governance, we solve a critical problem: ensuring that software generated by AI\-assisted developers or autonomous agents is reliable, secure, and maintainable. Integrating seamlessly with Claude Code, Codex, Cursor, GitHub Copilot, Gemini, and Devin, we help over 75% of the Fortune 100 build trusted, reliable, compliant software. Customers who use Sonar are 44% less likely to report an outage due to AI\-generated code. We believe code verification is the critical missing link in the Agent\-Centric Development Cycle (AC/DC). Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor Company count on us to provide independent, explainable, consistent review and governance of their AI\-generated code via products like: * SonarQube: The world’s leading AI code review and verification platform. * SonarQube Foundation Agent: Currently topping the leaderboards for agentic software repair. * SonarSweep \& Sonar Context Augmentation: Providing the enterprise\-grade context and constraints agents need to be truly effective. Our team operates across global hubs in Austin, Bochum, Dubai, Geneva, London, Singapore, Tokyo, and Washington D.C. We move with a mindset we call CODE: * Committed to our customers and community. * Obsessed with quality. * Deliberate in our decisions. * Effective as one team. With over $400M in revenue and profitable, fast\-paced growth, we are building the backbone of the AI software revolution. If you’re hungry to have an impact, want to build at a fast pace, and ready to work at the forefront of AI, we want to hear from you. **Position description** This role is the data team's dedicated analytical partner for Marketing. Your core job is to turn marketing data into decisions: diagnose what is working and what is not, explain why, and recommend where to spend the next

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