Data Scientist, Launch Program 2025 - India at Mastercard

Gurugram, Haryana, India

Mastercard Logo
Not SpecifiedCompensation
Entry Level & New GradExperience Level
Full TimeJob Type
UnknownVisa
Financial Services, Technology, PaymentsIndustries

Requirements

  • Currently enrolled in a bachelor’s or accelerated master’s program graduating between Dec 2023 – June 2024
  • Less than 1 year of professional work experience (not including internships)
  • Experience or demonstrated coursework in data analysis
  • Knowledge of Machine Learning techniques including Deep Learning algorithms (Random Forest, GBM, KNN, SVM, Bayesian)
  • Knowledge of Classical Machine Learning Algorithms (Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA)
  • Knowledge of Recommender Systems (Collaborative Filtering, FPMC, FISM, Fossil)
  • Knowledge of Deep Learning Architectures: Multilayer Perceptron, CNN, LSTM’s, GRU’s (a plus)
  • Experience with Big Data Platforms: Hadoop, Hive, Spark, GPU Clusters for deep learning
  • Proficiency in Programming Languages: Python, R, SQL

Responsibilities

  • Gather relevant information to define the business problem
  • Be a creative thinker capable of linking AI methodologies to identified business challenges
  • Develop AI/ML applications leveraging the latest industry and academic advancements
  • Work cross-functionally and across borders, drawing on a broader team to effectively execute the AI agenda

Skills

Machine Learning
Deep Learning
Random Forest
GBM
KNN
SVM
Bayesian
Logistic Regression
Decision Trees
K-means
Hierarchical Clustering
Self-organizing Maps
t-SNE
PCA
Data Analysis

Mastercard

Facilitates secure digital payment transactions

About Mastercard

Mastercard operates in the payments industry, focusing on building an inclusive digital economy. The company connects individuals, financial institutions, governments, and businesses through secure data and networks. Mastercard facilitates transactions by charging fees to merchants and financial institutions for processing payments. It serves a wide range of clients across over 210 countries and territories, aiming to make transactions safe, simple, and accessible. The company leverages partnerships and technology to promote growth and sustainability. A key aspect of Mastercard's culture is its decency quotient (DQ), which guides its operations and interactions.

Harrison, New JerseyHeadquarters
2007Year Founded
$9MTotal Funding
M_AND_ACompany Stage
Fintech, Financial ServicesIndustries
10,001+Employees

Benefits

New Parent Leave
Inclusive Family Building Benefit
Employee Family Resource Program
Bereavement Leave
Dependent Scholarship
Employee Assitance Fund
Business Resource Groups
Employee Recognition
Flexible Work
Tuition Assistance
Travel Assistance
Matching Charitable Gifts

Risks

Stablecoins challenge Mastercard's traditional model with lower fees and faster payments.
Biometrics adoption risks Mastercard losing market share if not integrated.
Debit card fee changes could impact Mastercard's revenue model significantly.

Differentiation

Mastercard leverages its global network to connect over 210 countries and territories.
The company focuses on secure, inclusive digital transactions for diverse clients.
Mastercard's decency quotient (DQ) drives its culture and operational strategies.

Upsides

Biometric technology adoption offers Mastercard new payment security and user experience opportunities.
Stablecoins' rise allows Mastercard to expand blockchain and cryptocurrency payment solutions.
Brick-and-mortar commerce resurgence boosts demand for Mastercard's innovative POS technologies.

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