Senior Data Scientist, Product Data & Analytics

Our

Purpose

Mastercard

powers economies and empowers people in 200+ countries and

territories worldwide. Together with our customers, we’re helping

build a sustainable economy where everyone can prosper.

We support a wide range of digital payments choices, making

transactions secure, simple, smart and accessible. Our

technology and innovation, partnerships and networks combine to

deliver a unique set of products and services that help people,

businesses and governments realize their greatest

potential.

Title

and

Summary

Senior

Data Scientist, Product Data &

Analytics

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Senior Data Scientist,

Product Data & Analytics

Our

Vision :

Product Data & Analytics team builds

internal analytic partnerships, strengthening focus on the health

of the business, portfolio and revenue optimization opportunities,

initiative tracking, new product development and Go-To Market

strategies. We are a hands-on global team providing scalable

end-to-end data solutions by working closely with the business. We

influence decisions across Mastercard through data driven insights.

We are a team on analytics engineers, data architects, BI

developers, data analysts and data scientists, and fully manage our

own data assets and solutions.

• Are you excited about

Data Assets and the value they bring to an organization?

making?

Analytics team that builds large scale Analytical Capabilities

supporting end users across the continents?

interested in proactively looking to improve data driven decisions

for a global corporation?

Role

Responsible for developing data-driven innovative scalable

analytical solutions and identifying opportunities to support

business and client needs in a quantitative manner and facilitate

informed recommendations / decisions.

delivering high quality project solutions and tools within agreed

upon timelines and budget parameters and conducting post-

implementation reviews.

of custom analyses and solutions, derives insights from extracted

data to solve critical business questions.

include developing and creating predictive models, behavioural

segmentation frameworks, profitability analyses, ad hoc reporting,

and data visualizations.

capabilities, as needed on large volumes of data to support

analytics and reporting needs across products, markets and

services.

multi-purpose AI models to drive automated insights and

recommendations.

technologies to solve business problems.

with global & regional teams to architect, develop, and

maintain advanced reporting and data visualization capabilities on

large volumes of data to support analytics and reporting needs

across products, markets, and services. Support initiatives in

developing predictive models, behavioural segmentation frameworks,

profitability analyses, ad hoc reporting, and data

visualizations.

into technical analyses and / or custom solutions in collaboration

with internal and external partners, derive insights and present

findings and outcomes to clients / stakeholders to solve critical

business questions.

support development of modelling and reporting

and reviews work for junior level colleagues to ensure downstream

applications and tools are not compromised or delayed.

Serves as a mentor for junior-level colleagues, and develops talent

via ongoing technical training, peer review

etc.

All About You

experience in data management, data mining, data analytics, data

reporting, data product development and quantitative analysis.

for large data sets.

Platforms / Environments : Cloudera Hadoop, Big data technology stack,

SQL Server, Microsoft BI Stack, Cloud, Snowflake, and other

relevant technologies.

(Tableau, Domo, and / or Power BI / similar tools) experience is a

plus

and cleansing processes to new and existing data

sources.

Learning Algorithms like Logistic Regression, Decision trees,

Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE,

PCA, Bayesian models, Time Series ARIMA / ARMA, Random Forest, GBM,

KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron,

Neural Networks - Feedforward, CNN, NLP, etc.

on Deep Learning algorithm techniques, open-source tools and

technologies, statistical tools, and programming environments such

as Python, R, and Big Data platforms such as Hadoop, Hive, Spark,

GPU Clusters for deep learning.

and creating data pipeline via tools such as Alteryx, SSIS. Nifi is

a plus

plus

Additional Competencies

Excellent English, quantitative, technical, and communication

(oral / written) skills.

Delivery / Risk Mitigation

manage stakeholders by influence

Solving

simultaneously

zone.

Creativity / Innovation

sense of urgency.

and ability to learn new technologies.

interact with management, internal stakeholders

Corporate Security

Responsibility

Responsibilities

All

activities involving access to Mastercard assets, information, and

networks comes with an inherent risk to the organization and,

therefore, it is expected that every person working for, or on

behalf of, Mastercard is responsible for information security and

must.

practices.

the information being accessed.

information security violation or breach, and

all periodic mandatory security trainings in accordance with

Mastercard’s guidelines. #AI

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Corporate Security

Responsibility

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All activities involving

access to Mastercard assets, information, and networks comes with

an inherent risk to the organization and, therefore, it is expected

that every person working for, or on behalf of, Mastercard is

responsible for information security and

must :

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Abide by Mastercard’s security policies

and practices;

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Ensure the confidentiality and integrity

of the information being

accessed;

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Report any suspected information

security violation or breach,

and

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Complete all periodic mandatory security

trainings in accordance with Mastercard’s

guidelines.

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