Data Scientist, Launch Program 2025 - India at Mastercard

Gurugram, Haryana, India

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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

Key technologies and capabilities for this role

Machine LearningDeep LearningRandom ForestGBMKNNSVMBayesianLogistic RegressionDecision TreesK-meansHierarchical ClusteringSelf-organizing Mapst-SNEPCAData Analysis

Questions & Answers

Common questions about this position

What is the salary for this Data Scientist position?

This information is not specified in the job description.

Is this Data Scientist role remote or office-based?

This information is not specified in the job description.

What technical skills are required for this Data Scientist role?

Required skills include Machine Learning techniques like Random Forest, GBM, KNN, SVM, Bayesian, Classical ML Algorithms such as Logistic Regression, Decision Trees, Clustering, Python, R, SQL, Big Data platforms like Hadoop, Hive, Spark, and Deep Learning architectures like CNN, LSTM’s, GRU’s as a plus.

What is the Launch Program like at Mastercard?

The Launch Program includes a four-day orientation on Mastercard, skills building, and culture, professional skills workshops, Launch Innovation Week for innovation and problem-solving, a pro bono social impact team challenge, and a Global Volunteer Challenge.

What are the eligibility requirements to apply for this role?

Candidates must be currently enrolled in a bachelor’s or accelerated master’s program graduating between Dec 2023 – June 2024, have less than 1 year of professional work experience (not including internships), and experience or demonstrated coursework in 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