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MasterCard Data Scientist in Gurgaon, India

Who is Mastercard?

We are the global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless at https://www.priceless.com/ ®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities.

Job Title

Data Scientist

Overview 

The Financial crime solutions team builds products and services powered by payments data. By combining data science techniques with an intimate knowledge of payments data we develop solutions that will improve outcomes for people, businesses and economies. We craft bespoke algorithms that help our clients gain an understanding of the underlying criminal behaviour that drives financial crime. 

As a data scientist, you will join one of the first teams in the world looking at account to account payments data across the world. Within the prototyping team you will help build systems that expose money laundering and detect frauds and scams as well as help Mastercard and our clients understand the underlying behaviours employed by criminals. You will be product focused, working in close collaboration with other data scientists as well as the wider sales, consulting, and product teams. 

Role

Perform proof-of-concept projects, engage in product design, build prototypes and production models

Use full range of data science and open source technologies and techniques to develop new services to aid existing and new financial crime products.

Leverage and enhance research done by other team(s) in diagnosing financial crime patterns hidden in payment data and use the outcome to create new products and services

Write white papers, patents, and create client facing data visualisations and demos

Consider the full impact of your work. This means considering privacy, ethics, and regulation, as well as the performance of your code and the accuracy of your models. 

All About You

First and foremost, you enjoy building products to solve real, pressing problems for your clients. You enjoy working in a team and have an interest in data science and how advanced algorithms may be deployed as product offerings. You are excited by new technologies and approaches to development and are keen to promote their use in an enterprise setting. Specifically:

You have 4+ years of experience working in python and are familiar with standard data science libraries such as pandas, scikit-learn, NumPy, TensorFlow etc.

You have experience with and are interested in contemporary approaches to service design, including the use of containers and container orchestration technologies (docker, kubernetes etc.), streaming data platforms (kafka), APIs and in-memory/NoSQL stores(redis), online algorithms (e.g. stochastic gradient descent)

You're able to communicate with non-technical colleagues about technical matters, and you're comfortable putting yourself in other people's shoes. 

You're happy and excited to explore new programming languages, technologies, and techniques. 

You have a can-do attitude, can be pragmatic where necessary, and are excited to work as part of a specialist team. You can engage in constructive criticism and aren't afraid to have your code reviewed. 

Mastercard is an inclusive Equal Employment Opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.​

If you require accommodations or assistance to complete the online application process, please contact reasonable.accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

Everyone wants easier ways to pay;

we invent them.

Checkout lines are slow;

we speed them along.

Merchants want more sales;

we give them data and insights.

People need financial access;

we connect them.

Corporate purchasing is complicated;

we make it simple.

Commuters are busy;

we speed them on their way.

Governments need greater efficiencies;

we help create them.

Small businesses are virtual;

we give them access to a world of buyers.

Retailers want to fight fraud;

we provide the tools.

Requisition ID: R-104609

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