remote
Staff Data Scientist - Digital Assets - Circle Internet Financial
Data Scientist
Lead advanced analytics and AI initiatives for digital asset products, building predictive models, data pipelines, and scalable ML solutions using Python, SQL, and cloud services.
About the role
Key Responsibilities
- Design, develop, and deploy machine‑learning models that power stablecoin risk management, payment routing, and blockchain analytics.
- Own end‑to‑end data pipelines, from raw on‑chain and transactional data ingestion to feature engineering and model serving.
- Collaborate with product, engineering, and compliance teams to translate business problems into data‑driven solutions.
- Mentor junior data scientists and establish best practices for reproducibility, monitoring, and model governance.
- Stay current with emerging AI/ML techniques and evaluate their applicability to digital‑asset use cases.
Requirements
- 5+ years of hands‑on experience building production ML systems, preferably in fintech or blockchain environments.
- Strong proficiency in Python, SQL, and ML frameworks such as TensorFlow or PyTorch.
- Experience with cloud platforms (AWS, GCP) and containerized deployment (Docker, Kubernetes).
- Deep understanding of statistical modeling, time‑series analysis, and large‑scale data processing (Spark, Flink).
- Excellent problem‑solving skills and ability to communicate complex concepts to cross‑functional stakeholders.
Skills
pythonsqlmachine learningdeep learningtensorflowpytorchaws