The Data Scientist II will work on various AI and ML initiatives, collaborating with teams, coding, and developing models while ensuring stakeholder needs are met.
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
Data Scientist II
The Role
The candidate, will be working on numerous AI and ML initiatives, spanning across different use cases and stages of delivery. You will expected to work and code hands-on, keeping up to date with latest best practices and advances in the field of AI.
You will be required to work closely in collaboration with multiple internal business groups across Mastercard. You are also responsible for creating design documents, including data models, data flow diagrams, and system architecture diagrams.
All about You
• Majors in Computer Science, Data Science, Analytics, Mathematics, Statistics, or a related engineering field or equivalent work experience• 4+ Years of experience in using Python with knowledge of client server architecture• 2+ Years of experience on building, deploying and maintaining ML models• 1+ Years of experience in working on Gen AI projects including knowledge of modern frameworks like LangChain, LangGraph, OpenAI Chat Completion APIs• Demonstrated success interacting with stakeholders to understand technical needs and ensuring analyses and solutions meet their needs effectively.• Able to work in a fast-paced, deadline-driven environment as part of a team and as an individual contributor.• Ability to easily move between business, analytical, and technical teams and articulate solution requirements for each group.• Experience with Enterprise Business Intelligence Platform/Data platform i.e. Tableau, PowerBI, Streamlit will be a plus. • Experience with cloud-based (SaaS) solutions, ETL processes or API integrations will be a plus.• Experience on Cloud Data Platforms Azure/AWS/Databricks will be a plus.
Additional Competencies
• Excellent English, quantitative, technical, and communication (oral/written) skills • Analytical/Problem Solving• Strong attention to detail and quality• Creativity/Innovation• Self-motivated, operates with a sense of urgency• Project Management/Risk Mitigation• Able to prioritize and perform multiple tasks simultaneously
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
Data Scientist II
The Role
The candidate, will be working on numerous AI and ML initiatives, spanning across different use cases and stages of delivery. You will expected to work and code hands-on, keeping up to date with latest best practices and advances in the field of AI.
You will be required to work closely in collaboration with multiple internal business groups across Mastercard. You are also responsible for creating design documents, including data models, data flow diagrams, and system architecture diagrams.
All about You
• Majors in Computer Science, Data Science, Analytics, Mathematics, Statistics, or a related engineering field or equivalent work experience• 4+ Years of experience in using Python with knowledge of client server architecture• 2+ Years of experience on building, deploying and maintaining ML models• 1+ Years of experience in working on Gen AI projects including knowledge of modern frameworks like LangChain, LangGraph, OpenAI Chat Completion APIs• Demonstrated success interacting with stakeholders to understand technical needs and ensuring analyses and solutions meet their needs effectively.• Able to work in a fast-paced, deadline-driven environment as part of a team and as an individual contributor.• Ability to easily move between business, analytical, and technical teams and articulate solution requirements for each group.• Experience with Enterprise Business Intelligence Platform/Data platform i.e. Tableau, PowerBI, Streamlit will be a plus. • Experience with cloud-based (SaaS) solutions, ETL processes or API integrations will be a plus.• Experience on Cloud Data Platforms Azure/AWS/Databricks will be a plus.
Additional Competencies
• Excellent English, quantitative, technical, and communication (oral/written) skills • Analytical/Problem Solving• Strong attention to detail and quality• Creativity/Innovation• Self-motivated, operates with a sense of urgency• Project Management/Risk Mitigation• Able to prioritize and perform multiple tasks simultaneously
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.
Top Skills
AI
AWS
Azure
Databricks
Ml
Power BI
Python
Streamlit
Tableau
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