VibeCodeCareers 
This senior-level, on-site role is based in Ramat Gan, Israel, at Mastercard. The company is a global leader in digital payments, and this role focuses on leading the machine learning lifecycle and developing AI systems for production use.
Skills / Requirements
- AI Evaluation
- AI Experimentation
- AI Guardrails
- AI Monitoring
- AI Optimization
- AI Personalization
- AI Research
- AI Systems
- AI Techniques
- Data Analysis
- Data Visualization
- Deep Learning
- Experimentation
- GitHub
- Machine Learning
- Personalization
- Python
- Recommendation Systems
- Statistical Analysis
- Vibe Coding
Why Apply
This role is ideal for someone skilled in Vibe Coding, as it involves building self-optimized algorithms and applying advanced AI techniques. The position requires experience with agentic and generative AI systems, making it perfect for AI-driven development.
What You'll Be Doing
You will lead the entire machine learning lifecycle from data analysis to production deployment. Your work will include optimizing AI solutions, driving personalization initiatives, and conducting rigorous experimentation to solve complex business problems.
Working in Ramat Gan, Israel
- Ramat Gan is a major financial and business hub in Israel, offering ample opportunities for tech professionals.
- The city is part of the Tel Aviv metropolitan area, known for its vibrant tech scene and innovation ecosystem.
- Ramat Gan offers a blend of urban living with green spaces, making it an attractive place to live and work.
- Public transportation in Ramat Gan is well-developed, providing easy access to Tel Aviv and surrounding areas.
Pay and Career Growth
The role offers the chance to lead advanced AI projects at a global company like Mastercard, known for its focus on innovation. The position requires a high level of expertise, suggesting competitive compensation and opportunities for professional growth.
Benefits and Perks
- 401k
- competitive salary
- Equity
- Health Insurance
- Paid Time Off
- Professional Development
Is This Role Right for You?
Good fit if you...
- Experienced in machine learning and deep learning with a strong theoretical background.
- Proficient in Python and Vibe Coding, with a track record of building AI systems.
- Comfortable leading projects and driving innovation in AI solutions.
May not be for you if...
- Lacks experience in agentic and generative AI systems.
- Unfamiliar with personalization and recommendation systems.
- Prefers remote work over on-site roles.
Original Job Description
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
Job Description
• Own the full machine learning lifecycle: data analysis, model development, ideation, proof of concept, production deployment, monitoring, and optimization
• Lead the design, development, evaluation, and optimization of agentic and generative AI systems for production use
• Define and enforce quality standards for agentic AI, ensuring reliability, consistency, business relevance, and compliance
• Develop robust methods to evaluate, monitor, and set guardrails for non-deterministic AI systems
• Optimize AI solutions across accuracy, latency, and cost
• Build and maintain self-optimized and continuously learning algorithms
• Drive advanced personalization initiatives, including personalized ranking, and contextual recommendation strategies
• Apply cutting-edge AI techniques to solve complex business problems
• Lead rigorous experimentation and statistical analysis to guide decision-making and validate impact
• Conduct ongoing research by analyzing industry trends, academic publications, and competitor approaches to drive innovation
Requirements
• Master’s/PhD in Mathematics, Statistics, Computer Science, Engineering, or a related quantitative field, or equivalent practical experience
• Strong programming skills in Python, Github, Vibe Coding
• Solid background in theoretical statistics
• Hands-on experience in machine learning and deep learning
• Intensive experience in structured and unstructured data
• Proven experience with recommendation systems and personalization
• Experience in data analysis, experimentation, and visualization
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.
