M
Mastercard
Lead Data Scientist (Foundry R&D)
Skills
SQL QueriesData EngineeringDeep LearningPythonData ScienceTensorFlowRPostgreSQLSnowflakeDatabricksData AnalysisMachine LearningAIAWSWorkdayHadoopAzure
17 hours ago
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Important information
Contract type:
Permanent
Location:
Ireland
Work mode:
Onsite
Published on:
22 October 2026
What they need
- The Data Scientist in the Foundry R&D team is responsible for creating data & analytics solutions including deep learning Artificial Intelligence (A.I.) and Machine Learning (M.L.) models that sit atop large datasets
- The Data Scientist is responsible for developing full life cycle modeling processes of data analysis, feature engineering, model training, testing, serving and monitoring
- Work closely with business owners to understand business requirements and performance metrics relating to data quality and model performance for customer-facing products
- Work with multiple disparate data sources and storage systems, and build processes and pipelines to provide cohesive datasets for analysis and modeling
- Generate, maintain, and optimize data pipelines for model building and model performance evaluation
- Develop, test, and evaluate modern machine learning and AI models
- Oversee implementation of models
- Evaluate production models based on business metrics to drive continuous improvement
- Leverage AI tooling to develop analytics code and data pipelines and to innovate on processes- Data engineering and data science experience
- Experience with SQL and one or more of the following database technologies: PostgreSQL, Hadoop, or Spark
- Strong skills in Databricks, Snowflake, and other data platforms
- Experience working with cloud platforms such as Azure or AWS
- Experience with Python and one or more of the following machine learning libraries: Spark ML, TensorFlow, scikit-learn, or XGBoost
- Exhibits a high degree of initiative
- Highly skilled problem solver
- Good communication skills
- Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning/AI, or a related STEM field
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