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Lead Data Scientist
1 month ago
Job Title: Lead Data Scientist
Making Transactions Secure, Simple, Smart and Accessible
The Security Solutions Data Science team is responsible for creating Artificial Intelligence (AI) and Machine Learning (ML) models that support our flagship product. The models generated are production ready and designed to back specific products in Mastercard's authentication and authorization networks.
We're looking for a Lead Data Scientist to work closely with business owners to understand business requirements and develop advancing fraud detection models specifically credit and debit card transaction level models.
The successful candidate will lead the development of best modeling practices to maintain the competitiveness of our fraud detection models and oversee implementation of data and model development pipelines.
- Work closely with business owners to understand business requirements, performance metrics regarding data quality and model performance of customer facing products.
- Lead the development of advancing fraud detection models specifically credit and debit card transaction level models.
- Lead the efforts to enhance the best modeling practices that maintains the competitiveness of our fraud detection models.
- Oversee implementation of data and model development pipelines.
- Explore fraudulent patterns or trends for feature discovery and enhance fraud detection model performance.
- Manage the testing of trained models to ensure their robustness and assess their readiness for deployment.
Requirements:
- Demonstrated ability independent contributing to overall team objectives.
- Data engineering and data science experience.
- Knowledge of model optimization techniques and the ability to work closely with more senior data scientists implementing and optimizing models within big data pipelines.
- Experience with XGBoost and holds strong grasp over data science and machine learning concepts.
- Experience with SQL language and one or multiple of the following technologies: PySpark, Hadoop, Databricks.
- Good knowledge of Linux / Bash environment.
- Python, Pyspark.
- Good communication skills.
- Highly skilled problem solver.
- Exhibits a high degree of initiative.
- At least an undergraduate degree in CS, or a STEM related field.
Nice to have:
- Experience building payment fraud detection models.
- Graduate degree in CS, Data Science, Machine Learning, AI or a related STEM field.
- Experience with data engineering in PySpark on petabyte scale data.
- Understands and implements methods to evaluate own work and others for error.
- Loves working with error-prone, messy, disparate, unstructured data.
