Senior Data Scientist @ Mastercard
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Overview
The Senior Data Scientist role at Mastercard is part of the AI COE team, responsible for establishing Mastercard as an AI powerhouse. The role leverages AI to drive product optimization and operational efficiency, aiming to secure Mastercard's competitive advantage.
Opportunity
This position is within the AI COE in Gurgaon. You will be involved in creative application and execution of AI use cases, collaborating with global stakeholders and technical teams to implement AI solutions at scale.
Role Responsibilities
- Own end-to-end AI solution development and execution.
- Ensure compliance with data management and privacy standards.
- Simplify complex technical requirements for stakeholders.
- Gather and analyze business problems and link them to AI methodologies.
- Develop reusable, multi-purpose AI/ML models.
- Leverage open/closed source technologies to solve business challenges.
- Collaborate cross-functionally to drive the AI agenda.
- Support production deployment of developed solutions.
- Foster a learning culture and continuously advance AI capabilities.
Experience & Effectiveness
Candidates must have 6+ years of experience in Data Sciences with a focus on AI strategy and execution. They should be comfortable in a matrix organization and have demonstrated thought leadership, technical expertise, and a passion for creative problem solving. Experience with deep learning, machine learning algorithms, big data platforms, and various programming environments is essential. Prior experience with collaboration tools and an understanding of the payments industry is a plus.
Core Capabilities
- Strong written and oral communication skills.
- Robust project management abilities.
- Bachelor's degree required; advanced degree is desirable.
- Some international travel may be required.
Key skills/competency
- AI
- Data Science
- Machine Learning
- Deep Learning
- Python
- Big Data
- SQL
- Data Management
- Problem Solving
- Collaboration
How to Get Hired at Mastercard
🎯 Tips for Getting Hired
- Tailor your resume: Highlight AI and data science expertise.
- Showcase projects: Include relevant AI applications and results.
- Network actively: Connect with Mastercard employees online.
- Prepare examples: Demonstrate problem solving in interviews.