Develops end-to-end data science and machine learning solutions, including data pipelines, feature engineering, model training, testing, deployment, serving, and monitoring. Partners with business stakeholders to define requirements and evaluate model performance. Works with large, disparate datasets and cloud data platforms while applying deep learning and AI techniques to improve customer-facing products and business outcomes.
Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Lead Data Scientist
Role and Summary
Data Scientist
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.
As a Data Scientist, you will:• Work closely with the business owners to understand business requirements, performance metrics regarding data quality and model performance of customer facing products• Work with multiple disparate sources of data, storage systems, and building processes and pipelines to provide cohesive datasets for analysis and modeling• Generate and maintain and optimize data pipelines for model building and model performance evaluation• Develop, test, and evaluate modern machine learning and A.I. models• Oversee implementation of models• Evaluate production models based on business metrics to drive continuous improvement• Leverage AI tooling for development of analytics code and data pipelines and to innovate on process
Essential Skills:• Data engineering and data science experience• Strong skills in Databricks, Snowflake, and other data platforms• Experience with SQL language and one or multiple of the following database technologies: PostgreSQL, Hadoop, Spark.• Experience in working with Cloud (e.g., Azure, AWS)• Python and one of the following machine learning libraries
o Spark ML
o TensorFlow
o Scikit Learn
o XGBoost• Good communication skills• Highly skilled problem solver• Exhibits a high degree of initiative• Bachelor's or Master's in CS, Data Science, ML/AI, or a related STEM field
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Lead Data Scientist
Role and Summary
Data Scientist
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.
As a Data Scientist, you will:• Work closely with the business owners to understand business requirements, performance metrics regarding data quality and model performance of customer facing products• Work with multiple disparate sources of data, storage systems, and building processes and pipelines to provide cohesive datasets for analysis and modeling• Generate and maintain and optimize data pipelines for model building and model performance evaluation• Develop, test, and evaluate modern machine learning and A.I. models• Oversee implementation of models• Evaluate production models based on business metrics to drive continuous improvement• Leverage AI tooling for development of analytics code and data pipelines and to innovate on process
Essential Skills:• Data engineering and data science experience• Strong skills in Databricks, Snowflake, and other data platforms• Experience with SQL language and one or multiple of the following database technologies: PostgreSQL, Hadoop, Spark.• Experience in working with Cloud (e.g., Azure, AWS)• Python and one of the following machine learning libraries
o Spark ML
o TensorFlow
o Scikit Learn
o XGBoost• Good communication skills• Highly skilled problem solver• Exhibits a high degree of initiative• Bachelor's or Master's in CS, Data Science, ML/AI, or a related STEM field
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
- Abide by Mastercard's security policies and practices;
- Ensure the confidentiality and integrity of the information being accessed;
- Report any suspected information security violation or breach, and
- Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
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