Data Scientist

Details

Turn billions of AI responses, citations, and crawler logs into the insights that power Promptwatch. You'll build the models, metrics, and analyses that define how brand visibility in AI Search is measured and optimized.

Promptwatch sits on one of the richest datasets in AI Search: real AI responses across ChatGPT, Claude, Gemini, and Perplexity, combined with billions of crawler logs and clicks. We ingest around 2,000 events per second of crawler logs, CDN data, and clickstream data, on top of huge volumes of unstructured AI response text. As a Data Scientist, you'll turn this data into the metrics, models, and insights that define how agentic AI Search is measured and improved.

This is a high-impact, hands-on role. You'll work closely with Product and Engineering to design visibility and sentiment metrics, surface trends across millions of AI answers, and build the analytical foundation that our customers and our public research rely on. Working with large amounts of unstructured data, vector search, and embeddings is at the heart of the role.

Responsibilities

• Design and refine metrics for brand visibility, citations, and sentiment across AI assistants
• Analyze large-scale, high-velocity datasets (~2,000 events/second of crawler logs, CDN, and clickstream data) to surface actionable trends
• Make sense of large amounts of unstructured AI response text using embeddings and vector search
• Build statistical and ML models to detect patterns in how AI systems retrieve, rank, and cite content
• Develop reproducible analyses and pipelines that scale with our growing dataset
• Produce public-facing research and reports that establish Promptwatch as a thought leader in AI search space
• Validate data quality and define methodologies that customers can trust

Requirements

• 4+ years experience in data science, analytics, or a quantitative research role
• Strong proficiency in Python and SQL for data analysis
• Solid foundation in statistics, experimentation, and ML fundamentals
• Experience working with large, messy, real-world datasets, including high volumes of unstructured text
• Hands-on experience with vector search and embeddings
• Ability to translate ambiguous questions into clear, measurable analyses
• Strong communication skills to present findings to technical and non-technical audiences
• Curious and excited about AI, search, and emerging buyer behavior
• Familiarity with data warehouses and analytics tooling (e.g. BigQuery, Tinybird/ClickHouse, Elasticsearch)

Nice to Have

• Experience with NLP or working with LLM outputs
• Background in SEO, search, or marketing analytics
• Experience building data visualizations or dashboards

Compensation

Salary: €60,000 - €85,000 (depending on experience)

Perks: Great office location, team off-sites, company and team sports activities

Do you see yourself thriving and growing in this role? Apply now and join us in shaping the future of AI Search.