Lead Data Scientist Opportunity at Mastercard | Full-Time | Sept 2024

• Job Title: Lead Data Scientist
• Company: Mastercard
• Location: Pune, Maharashtra
• Salary: Not Disclosed
• Qualifications: Master’s Degree
• Experience: 5-7 Years 
• Job Type: Full-time

Position Overview:

As a Lead Data Scientist at Mastercard, you’ll broaden and deploy data-driven answers using machine learning, deep getting-to-know, and AI techniques. Your function involves reworking commercial enterprise challenges into research problems, executing facts science initiatives, and handling facts extraction, analysis, and modeling. You’ll be liable for deploying and maintaining answers, offering consequences to numerous audiences, and protecting highbrow assets. Collaboration with internal groups and knowledge dissemination through conferences are key elements. Ideal candidates have five years of applicable experience or three+ years with a Ph.D., and knowledge in Python, TensorFlow, SQL, and records governance.

Company Purpose:

Mastercard’s objectives are to connect and power an inclusive digital economy, making transactions secure, simple, and on hand. Their subculture emphasizes inclusion, valuing numerous views to force innovation and better business effects.

Lead Data Scientist Job Responsibilities:

1. Transform Business Challenges: Convert enterprise troubles into clinical research issues.
2. Develop Data-Driven Solutions: Use AI, ML, and DL to resolve commercial enterprise issues.
3. Project Execution: Lead data technology tasks for each product and enterprise use instance.
4. Hands-On Work: Involves information extraction, analysis, cleaning, modeling, and assessment.
5. Solution Deployment: Deploy, report, and keep information science answers.
6. Presentation: Communicate findings to numerous audiences.
7. Protect Intellectual Property: Patent technology and bear in mind publishing findings.
8. Prototype Development: Build and compare prototypes and proof-of-principles.
9. Knowledge Dissemination: Present paintings at meetings and universities.
10. Collaboration: Work with inner groups and other Mastercard groups.

Qualifications:

• Experience: 5 to 7 years in gadget mastering and deep gaining knowledge of, or 3+ years with a Ph.D.
• Education: A Master’s in Computer Science or a quantitative discipline is needed; a Ph.D. Is favored.

Skills:

• Python, R Programming
• ML Frameworks (e.g., Scikit-research), Deep Learning Frameworks (e.g., TensorFlow, PyTorch)
• SQL, SAP HANA, Hadoop, Snowflake
• Linux, Azure, Azure Machine Learning, Databricks
• Attributes: Strong medical conversation, essential thinking, interest, and innovation.

Nice to Have:

• Identifying new challenges that facts can solve.
• Generating modern ideas for organizational value.
• Corporate Security Responsibility
• Employees should adhere to Mastercard’s protection rules, ensure the confidentiality and integrity of facts, and report any protection violations.
• If this position aligns with your qualifications and hobbies, it is probably a superb opportunity to explore similarly!

About Company:

Mastercard is an international economic services corporation famend for its position in facilitating stable, efficient, and modern transactions. Founded in 1966, it provides a large variety of charge answers, such as credit score, debit, and pay-as-you-go playing cards, to customers, corporations, and governments international. Mastercard’s venture is to attach and electricity an inclusive virtual economic system, leveraging technology to make transactions secure, simple, and accessible.

The company is committed to fostering a way of life of inclusion and diversity, driving innovation through advanced information analytics, device studying, and AI. Mastercard also specializes in improving monetary inclusion and supporting international financial growth. With a presence in over two hundred international locations, Mastercard plays an important position in shaping the future of bills and digital finance.

Benefits:

1. Health and Wellness: Comprehensive medical, dental, and vision coverage, often with alternatives for dependents and well-being packages.
2. Retirement Plans: 401(ok) or equal retirement savings plans with business enterprise fit.
3. Paid Time Off: Generous vacation days, sick days, and public vacations.
4. Work-Life Balance: Flexible painting arrangements, together with faraway painting alternatives or bendy hours.
5. Professional Development: Access to training, conferences, and educational possibilities.
6. Bonuses and Incentives: Performance-primarily based bonuses and stock alternatives or fairness.
7. Employee Assistance Programs: Support for intellectual fitness and private well-being.
8. Other Perks: Various extra benefits inclusive of transportation subsidies, fitness memberships, and extra.

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