Senior Data Scientist

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

Our Purpose

We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation, and delivers better business results.


Title and Summary

Senior Data Scientist

Overview

Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital experience. We provide value-added services and leverage expertise, data-driven insights, and execution. We are a division within Mastercard that specializes in Identity Verification, providing businesses worldwide the ability to link any digital transaction to the human behind it. Our Identity Engine, the first and only of its kind, uses complex machine learning to combine features derived from the billions of transactions within our proprietary network and the data from our graph to deliver industry leading risk assessment solutions.

Role

We are looking for a Senior Data Scientist in a related field to join our team in the Budapest office. This is a key role within the team responsible for developing models to support various Mastercard Identity Verification products, and you’ll have exciting responsibilities, including:

Analyzing complex, high-volume data from varying sources and identifying key regularities, patterns and trends.

Prototyping and developing machine learning models in collaboration with an agile, high-functioning team.

Spotting new opportunities in data collection, feature creation, feature selection, model tuning and evaluation practices, and taking those ideas from the first concepts to live product integrations.

Evaluating and benchmarking for model performance comparison. Implementing effective monitoring.

Leveraging new research in data modelling to identify opportunities, pioneering algorithms and systems that become key commercial products.

Maintaining model development pipelines, libraries and machine learning infrastructure. Ensuring modern machine learning models are well tested.

All About You

Ideally, you are:

A strong problem solver with critical thinking skills who can formulate a problem into solution.

Capable of writing complex SQL queries to process data. Proficient with manipulating and analyzing data to gain meaningful insights using tools such as Pandas for Python.

Experienced in creating algorithms and applying machine learning models to solve real business problems. You have the vision to see what the next generation model looks like and can iterate over production models to generate a competitive edge in the market.

A capable coder, able to write well-abstracted, production-quality code in Python (preferred), R, Java and/or C++. You’re experienced in using cloud services (e.g. AWS, Microsoft Azure and/or Google Cloud), and machine learning tools (e.g. scikit-learn, Tensorflow and/or Keras).

Statistically adept. You have the depth of knowledge required to identify appropriate techniques, follow and create formal proofs, define apt performance measures and adeptly explore or transform data. Ideally, you have studied in a quantitative field at a doctoral or master’s level.

Experienced working with large data sets. You understand the benefits of batch processing and parallelization and know how to design a pipeline to scale-out machine learning workflows. You have experience working with distributed data processing frameworks such as Apache Spark.

An effective communicator in visual, verbal and spoken channels, able to identify a narrative in complex data and convey clear, actionable findings to different types of audiences.

Experienced in architecting end-to-end solutions for production deployment (considered an asset but not required).

It also helps if you are:

Collaborative. We do our best work as a team, which means sharing, being open to giving and receiving support and constructive input.

Evidence-based. We work to eliminate assumptions and test our hypotheses, and we value rigour.

Responsible. We offer the opportunity to drive major projects that protect consumers every day, internationally. We are looking for colleagues who care about that.

Motivated. We’re a team of data scientists with personal and collaborative side projects, and we’re looking for someone who shares our enthusiasm.

Innovative. Data Science is a continuously growing field. We like our team to keep pushing for new ideas and methods. We are looking for someone who is creative and not just always satisfied with the status quo.

Corporate Security Responsibility

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:

• Abide by Mastercard’s security policies and practices;

• Ensure the confidentiality and integrity of the information being accessed;

• Report any suspected information security violation or breach, and

• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.