onsite
Staff Data Scientist - AML
Data Scientist
Lead advanced analytics for AML, building AI agents that detect anomalies in massive datasets using Python, machine learning, and big data techniques, while enhancing data quality through augmentation and curation.
About the role
Key Responsibilities
- Design and implement scalable machine learning pipelines for AML anomaly detection across terabytes of transactional data.
- Develop AI agents that autonomously identify suspicious patterns, leveraging advanced statistical and deep learning models.
- Engineer data augmentation strategies to enrich limited labeled datasets, improving model robustness.
- Curate and maintain high‑quality data repositories, ensuring compliance with regulatory standards.
- Collaborate with cross‑functional teams to translate business requirements into technical solutions.
Requirements
- Proven experience in Python and machine learning frameworks (TensorFlow, PyTorch, Scikit‑learn).
- Strong background in big data technologies (Spark, Hadoop, or similar).
- Hands‑on expertise in anomaly detection and fraud analytics.
- Excellent problem‑solving skills and ability to work in a fast‑paced environment.
- Effective communication skills for presenting findings to stakeholders.
Skills
pythonmachine learning