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Data Scientist - Payments

Deutschland🌐 Remote💼 Full-time🗓 2026-09-18 → 2026-09-23

Core

Develop machine learning models and AI-driven capabilities to transform complex payment data into actionable insights for global merchants, focusing on anomaly detection, predictive analytics, intelligent routing, and risk management.

Role type

Senior IC machine learning engineer (payments)

Builds

AI-driven payment intelligence platform features including anomaly detection, predictive analytics, and intelligent routing

Domain

FinTech / Payments

Deliverable

production ML models

Required skills

Python, predictive modeling, anomaly detection, statistical modeling, SQL, feature engineering, model deployment, cross-functional collaboration

Preferred skills

Payments/Fraud domain knowledge, advanced degree in quantitative field, ClickHouse/Snowflake/Spark, AWS, Kubeflow/Vertex AI, data visualization tools

Technologies

Pandas, NumPy, SciPy, LightGBM, XGBoost, CatBoost, SQL, ClickHouse, DuckDB, Spark, Snowflake, AWS, Kubeflow, Vertex AI, Docker, Grafana, Streamlit

Responsibilities

Design, build, deploy, and maintain ML models for payment performance; develop AI capabilities for anomaly detection and automated decision-making; own the end-to-end data science lifecycle; collaborate on scalable data pipelines and model-serving infrastructure; monitor model performance and drift; partner with Product/Engineering to define and deliver new AI capabilities

Seniority

Senior, hands-on IC

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