Senior Data Scientist

About the role

We're looking for 2 Senior Data Scientists to join our team. You will own the data science behind our business steering, ship AI agents, and drive conversion optimization across our travel platform.

What you'll do

• Own the Data Science behind our business steering: Unite isolated ML models into a single decision layer that powers budget allocation and conversion rate optimization, creating bottom-line impact worth millions.
• Ship AI agents: Design, deploy, and monitor production-grade LLM agents that improve customer experience in sales and operations while keeping humans in control.
• Predict lead quality: Develop and calibrate models that combine likelihood-to-book with expected order value to inform routing, lead prioritization, and threshold decisions across the funnel.
• Run deep conversion analyses: Quantify drivers across our sales funnel and separate marketing effects from operational performance using robust statistical methods.
• Ensure reliability: Ship well-documented models with calibration, drift/anomaly detection, and change controls that keep business metrics stable.
• Own broadly: Take end-to-end ownership across a wide range of modeling methods, moving quickly on diverse use cases to create maximum impact.

What you'll need

• Master's degree or higher in a STEM field (e.g., Computer Science, Data Science, Mathematics, Statistics, Engineering, Physics)
• 5+ years of experience in Data Science, owning the full lifecycle of DS/ML products from ideation and design to development, deployment, and ongoing monitoring - embedded in a real software environment.
• Strong grounding in statistical modeling, optimization, and forecasting.
• Design and analyze online experiments beyond simple A/B tests - sequential methods, variance reduction, guardrails, and metric design.
• Experience with applied LLM systems (RAG pipelines, agent workflows) and integrating them into production services, including monitoring and shipping continuous improvements.
• Proficient in building production-grade modeling pipelines in Python implementing calibration, monitoring, and drift detection. Comfortable writing SQL queries to fetch and transform data.
• Experience with Docker, CI/CD, MLFlow, and Dagster is helpful.

What they offer

• Highly competitive Senior Data Scientist salary for Berlin Tech Market.
• Hybrid/Remote with 2-3 days per week in Berlin office.
• 5 months of remote working per year to work abroad.
• Employee Resource Groups to connect with colleagues.
• Dog-friendly office.