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 bottom-line impact across conversion, lead quality, and the sales funnel.

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.
• Ability to 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 model with 2-3 days per week in the Berlin office.
• 5 months of remote working abroad per year.
• Dog-friendly office.