remote
Sr. Data Scientist - Mastercard
Data Scientist
Senior Data Scientist leading fraud and risk analytics, leveraging Python, SQL, and machine learning to protect global payment ecosystems and enhance customer experience.
About the role
Key Responsibilities
- Design, develop, and deploy predictive models for fraud detection and risk assessment across global payment channels.
- Collaborate with cross‑functional teams to translate business requirements into data‑driven solutions.
- Analyze large, complex datasets to uncover patterns, anomalies, and insights that inform security strategies.
- Implement end‑to‑end data pipelines, ensuring data quality, integrity, and compliance with regulatory standards.
- Communicate findings and recommendations to stakeholders through clear visualizations and executive summaries.
Requirements
- 5+ years of experience in data science or analytics within fintech, payments, or related domains.
- Proficiency in Python, SQL, and machine learning libraries (scikit‑learn, TensorFlow, PyTorch).
- Strong background in statistical modeling, anomaly detection, and risk scoring.
- Experience with large‑scale data processing (Spark, Hadoop) and cloud platforms (AWS, Azure).
- Excellent problem‑solving skills and ability to communicate complex concepts to non‑technical audiences.
Skills
pythonmachine learningsqldata analysis