Senior Data Scientist
@ Mastercard

Gurgaon, Haryana, India
$150,000
On Site
Posted 24 days ago

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Job Details

About Mastercard

Mastercard powers economies and empowers people in over 200 countries and territories. We support digital payments with secure, simple, and smart transactions. Our innovation, partnerships, and global networks help unlock potential for people, businesses, and governments.

Role Overview - Senior Data Scientist

Join Mastercard's AI COE in Gurgaon where you will lead AI initiatives, develop innovative models, and drive operational efficiency. You will work cross-functionally, partnering with global stakeholders to translate complex problems into practical AI solutions.

Key Responsibilities

  • Own AI projects from ideation to production
  • Ensure data management and privacy compliance
  • Translate technical requirements for diverse stakeholders
  • Develop reusable AI/ML models and solutions
  • Collaborate across teams and borders

Technical Expertise & Tools

Demonstrated expertise in Data Sciences especially AI. Experience with Python, R, SQL, Hadoop, Spark, and deep learning frameworks such as Tensorflow, Keras, and PyTorch is essential. Familiarity with statistical tools and classical machine learning techniques is required.

Experience & Qualifications

6+ years experience in Data Sciences with a focus on AI. Advanced degrees and patents, experience with start-ups, and participation in competitions such as Kaggle are valued. Strong project management, communication skills and a bachelor's degree (advanced preferred) are required.

Corporate Security Responsibility

Adhere to Mastercard’s security policies, safeguard data, and complete mandatory security trainings.

Key skills/competency

  • AI
  • Data Sciences
  • Machine Learning
  • Python
  • Deep Learning
  • Data Management
  • Big Data
  • Project Management
  • Stakeholder Engagement
  • Innovation
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How to Get Hired at Mastercard

🎯 Tips for Getting Hired

  • Research Mastercard's culture: Study mission, values, news, and testimonials.
  • Customize your resume: Highlight AI and data science accomplishments.
  • Showcase technical skills: Emphasize Python, ML, and deep learning experience.
  • Prepare clear examples: Demonstrate end-to-end project execution.

📝 Interview Preparation Advice

Technical Preparation

Review Python ML libraries and frameworks.
Practice building end-to-end AI pipelines.
Study deep learning model architecture fundamentals.
Familiarize with Hadoop and Spark clusters.

Behavioral Questions

Describe handling ambiguous project challenges.
Explain cross-functional collaboration with global teams.
Discuss your experience with rapid problem solving.
Share how you manage stakeholder expectations.

Frequently Asked Questions