Drive the technical design and implementation of high-quality, impactful ML solutions across multiple domains
Apply expertise in quantitative analysis, data mining, data science, and advanced ML to model complex business patterns
Define and execute analytics for complex, cross-domain problems
Serve as a technical leader within cross-functional teams to enhance the decision engine
Ensure successful deployment and operationalization of ML services

4+ years of experience in a data-driven, quantitative, or machine learning role
Hands-on proficiency in Python (pandas, scikit-learn, XGBoost, PyTorch/TensorFlow) and SQL (Snowflake, BigQuery, etc.)
Experience with data visualization tools such as Tableau
Expertise in applying and productionizing advanced ML models (classification, deep learning, anomaly detection, graph networks)
Proven experience leading the deployment and productionization of ML services
Understanding of modern MLOps concepts such as containerization (e.g., Docker, Kubernetes)
Experience with orchestration frameworks like Metaflow, Kubeflow, Airflow, or similar MLOps tools
Hands-on experience with graph databases (e.g., Neo4j)
Strong business acumen and the ability to translate complex business problems into analytical and technical requirements
Excellent communication and data storytelling skills

Challenging and impactful work that supports personal and professional growth
One of the best Virtual Shares Incentive Programs on the market
Flexible working hours
Hybrid working model
30 days of vacation per year
Sabbatical opportunities
Additional child sick leave for parents
Discounted access to Berlin public transport (BVG), Deutschland-Ticket, or JobRad
Annual development budget
Free group German classes
English-speaking, multicultural team with more than 40 nationalities
Company and team events, interest groups, and run club

Data Scientist

Key skills