Data Scientist, Marketing Analytics

Sonarsource

Geneva, CH

Who this role is best for

Best suited to data scientists with marketing analytics experience who thrive in proactive, hypothesis-driven environments.

Best fit for

Marketing analysts who diagnose performance gaps and prescribe spending adjustments.
— “diagnose what is working and what is not, explain why, and recommend where to spend the next dollar”
Mid-level candidates measuring success through analytical impact rather than model-building.
— “your primary measure of success is the quality and impact of your analysis”

Things to consider

Ownership of end-to-end marketing attribution requires full funnel expertise.
— “You will own marketing attribution, ROI, and conversion analysis end to end”
Geneva-based role with global team collaboration expectations.
— “Our team operates across global hubs in Austin, Bochum, Dubai, Geneva, London, Singapore, Tokyo, and Washington D.C.”

How to stand out

Showcase instances where you surfaced opportunities before being asked.
— “you will be proactive about it, surfacing findings and opportunities before anyone asks”
Highlight marketing-specific data storytelling with executive stakeholders.
— “turn marketing data into decisions”
Demonstrate technical partnership skills with engineering teams.
— “partner with our Data and Analytics Engineers to shape the models and pipelines you need”

Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Mid Level

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

marketing attribution
ROI analysis
conversion analysis
data exploration
hypothesis testing

Typical background

data sciencemarketing analytics

Skills & requirements

Required

Marketing AttributionROI AnalysisConversion AnalysisData ExplorationHypothesis Testing

Preferred

Marketing OperationsData Engineering

About the role

Original posting from Sonarsource via Lever

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 dollar. You will own marketing attribution, ROI, and conversion analysis end to end, and you will be proactive about it, surfacing findings and opportunities before anyone asks.
You will explore data, form hypotheses, and partner with our Data and Analytics Engineers to shape the models and pipelines you need. You will help define those models, but your primary measure of success is the quality and impact of your analysis.
This role sits in the Data & Insights team and partners closely with Marketing, IT/Marketing Ops, Data Engineers, Analytics Engineers, and data scientists covering other domains.

Source: Sonarsource careers (Lever)