Senior Data Scientist/Analyst, Nudata - Ids2001

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/Analyst, NuData - IDS2001

Summary

Mastercard’s Cyber & Intelligence Solutions organization develops and delivers world-class security products and services for customers across the globe. NuData Security predicts fraudulent transactions by identifying good users from bad, based on their online behavior. By analyzing over 38 billion behaviors annually, NuData harnesses the power of behavioral and biometric analysis to empower its clients to predict fraud and verify the user behind the device. This allows clients to predict fraud before a critical decision, reduce customer insult, and investigate bad actors efficiently.

You are a determined pattern-finder, one that delights in the tough puzzles because nothing satisfies like finally cracking one. Dig into weird, needle-in-a-haystack Internet-based fraud cases. Ferret out suspicious behaviour from the innocuous. Decipher the pattern, find the fraud and then figure out how to catch it in the future. You’ll back up your findings with deep statistical analysis and robust data modeling, which will go on to inform feature design and fraud investigation strategy for NuData product offerings. You'll produce compelling visuals, exciting dashboards and give fantastic presentations to both internal and external stakeholders.

Qualifications

•     Experience dealing with large datasets;
•     Strong data analysis and data modeling skills;
•     Experience with data analytics tools in AWS or other cloud computing environments;
•     Exceptional written and verbal communication skills, with an advanced level of experience in presenting and reporting to various audiences (both size and type of audience).
•     Ability to provide data-driven insights to that inform product strategy;
•     Experience with Python and SQL, with the ability to create complex queries and joins;

Candidates without experience in a professional setting will not be considered for this role.

Bonus Points

•     Experience with machine learning (supervised or unsupervised);
•     High level concepts of Web Services, Internet Security and Online Behavioral Analysis.
•     Experience with data manipulation and designing and implementing ETL processes;
•     Experience with other high level programming languages

#IdentitySolutions

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

• Report any suspected information security violation or breach, and
• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
• Ensure the confidentiality and integrity of the information being accessed;
• Abide by Mastercard’s security policies and practices;