Data Scientist

About the role

We're looking for a Data Scientist who thrives on solving complex B2B analytics challenges at scale. You'll build ML/AI systems that serve multiple industries simultaneously, tackling problems with sparse data patterns, irregular purchasing behavior, and high business stakes.

What you'll do

• Build and deploy ML models processing millions of transactions across 20+ enterprise customers
• Design recommendation engines handling catalogs of 500K+ products
• Develop predictive models for customer behavior with sparse, irregular interaction patterns
• Create churn prediction and cross-sell systems integrated with ERP systems
• Own complete lifecycle from problem definition to production deployment
• Build evaluation frameworks connecting model performance to business KPIs
• Build models that generate automated proposals and personalized communication templates using LLMs
• Combine classical ML (churn prediction, clustering) with LLMs for insight generation and sales enablement

What you'll need

• Strong background in machine learning fundamentals - you understand why algorithms work, not just how to use them
• Experience building production data powered products systems that handle real-world messiness
• Familiarity in distributed computing (Spark/PySpark) for processing large-scale data
• Solid software engineering practices - your code is tested, documented, and maintainable
• You approach problems from first principles rather than reaching for standard solutions
• Comfortable with ambiguity - you can define success metrics when requirements are vague
• Experience translating business problems into data science solutions
• Building ML systems that handle irregular patterns (time series with gaps, seasonal businesses, etc.)

Nice to have

• Experience in B2B analytics, e-commerce, or supply chain optimization
• Knowledge of recommendation systems, customer analytics, or revenue optimization
• Familiarity with modern data platforms (Databricks, Snowflake, etc.)
• Experience with MLOps practices and model lifecycle management
• Experience with LLM APIs, prompt engineering, or building LLM-augmented products
• Proficiency in German

What they offer

• Modern office in Berlin-Mitte with a collaborative team culture
• Small, elite team where everyone knows everyone
• Direct access to founders and customers - no bureaucracy
• Your work ships fast and impacts the business immediately
• High ownership, low process work environment