Data Scientist 2-1

Mastercard

3-5 years data science experience
Python pandas numpy scipy skills
Statistical modeling and ml techniques
Mastercard is a global technology company empowering an inclusive digital economy through secure and smart transactions

Job Summary

  • Mastercard is a global technology company empowering an inclusive digital economy through secure and smart transactions.
  • The role involves building predictive models for financial applications such as transaction classification, temporal analysis, and risk modeling.
  • Candidates must possess strong communication skills to explain technical trade-offs and results to varied internal and client stakeholders.

Matching Summary

Mastercard is a global technology company empowering an inclusive digital economy through secure and smart transactions.

Skills & Requirements

Must-have

  • 3-5 years data science experience
  • Python pandas NumPy SciPy skills
  • Statistical modeling and ML techniques
  • NLP and LLM prompt engineering
  • SQL and Spark/PySpark proficiency
  • End-to-end model deployment lifecycle

Nice-to-have

  • Financial transactional data experience
  • Docker and Kubernetes productionization
  • FinTech domain exposure
  • Generative AI tool application
  • REST APIs and event streams
  • Entrepreneurial mindset and curiosity

Key Requirements

  • 3-5 years of data science experience
  • End-to-end model development capability
  • Strong Python programming proficiency
  • Experience with supervised and unsupervised learning
  • Proficiency in SQL and data lake systems

Work Rights

Not specified

Tailored Resume

Cover Letter