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Mastercard

Data Scientist

Mastercard

Published 16 May 2026
San Francisco, CA, USA
138K - 221K USD Annual
Part Time
Full Time

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Role Highlights

Languages used

SQL
Python

Key skills

Data Engineer
Data Analysis
Big Data
Prompt Engineering
Machine Learning
Data Science
Computer Science
Data Quality
Critical Thinking
Information Security
Cloud
Agile
Infrastructure
Statistics
ETL
ELT
DataSets
Reliability

Tools, Libraries and Frameworks

Airflow
Tensorflow
PyTorch
Hadoop
Scikit-learn

Description

The role involves building scalable and high-performance data platforms to power personalized user experiences. The individual will develop, validate, and deploy machine learning models to address specific business use cases. Responsibilities include performing exploratory data analysis to identify trends and patterns while applying statistical techniques to solve complex problems. The position requires designing and maintaining scalable data pipelines and infrastructure to ensure data quality and reliability. Additionally, the role involves conducting A/B testing and collaborating with cross-functional teams to translate business requirements into technical solutions.

Required Qualifications and Skills

Candidates must possess a Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. The role requires multiple years of professional experience in data science or data engineering. Proficiency in SQL and Python is mandatory, alongside hands-on experience with machine learning frameworks and data pipeline tools. Strong foundational knowledge in statistics and probability is also required.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

Mastercard

Size

38185

HQ

Purchase, US

Description

MasterCard is framed as a technology company in the global payments business, emphasizing its role in connecting various stakeholders worldwide and enabling the use of secure and convenient electronic forms of payment. It describes its mission as working to connect and power an inclusive digital economy that benefits everyone everywhere by ensuring transactions are safe, simple, smart, and accessible. The company culture is driven by a decency quotient (DQ), cultivating an inclusive environment that values individual strengths, views, and experiences. It leverages secure data, networks, partnerships, and a passion for innovation to support various entities, including individuals, financial institutions, governments, and businesses, in realizing their potential.

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