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 ScientistSenior Data Scientist – Data & Analytics
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.
Job Title
Senior Data Scientist
Who is Mastercard?
Mastercard is a global technology company in the payments industry. Our mission is 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. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.
Our Team:
As consumer preference for digital payments continues to grow, ensuring a seamless and secure consumer experience is top of mind. Optimization Solutions team focuses on tracking of digital performance across all products and regions, understanding the factors influencing performance and the broader industry landscape. This includes delivering data-driven insights and business recommendations, engaging directly with key external stakeholders on implementing optimization solutions (new and existing), and partnering across the organization to drive alignment and ensure action is taken.
• Are you excited about Data Assets and the value they bring to an organization?
• Are you an evangelist for data-driven decision-making?
• Are you motivated to be part of a team that builds large-scale Analytical Capabilities supporting end users across 6 continents?
• Do you want to be the go-to resource for data science & analytics in the company?
The Role:
Work closely in collaboration with multiple internal business groups across Mastercard to implement End-to-End customer lifecycle solutions whilst utilizing Reltio.
The candidate for this position will focus on Building End-to-End solution using Reltio/Databricks to blend data from multiple data sources (Salesforce, BigData, SQL Server) and creating actionable insights to transform siloed data from disparate sources into unified, trusted and interoperable data.
Candidate should have a strong understanding of data management concepts and experience working with the Reltio platform. Candidate should have a solid understanding of cloud-based systems and should be able to work effectively in a team environment. Strong communication and collaboration skills are also important.
Creating design documents, including data models, data flow diagrams, and system architecture diagrams.
All about You
• A superior academic record at a leading university in Computer Science, Data Science, Technology, mathematics, statistics, or a related field or equivalent work experience
• 5+ Years of experience in using Python/Spark, Hadoop platforms & tools (Hive, Impala), and SQL to build Big Data products & platforms
• 1+ Years experience working on end-to-end solutions using Reltio. Must have experience working on at least one end-to-end project on Reltio.
• Ability to tune Reltio to meet performance requirements. Familiar with Data Cleansing, Data Quality, Data Governance and Data Migration concepts.
• Familiarity with data integration technologies and techniques, including RIH processes, data pipelines, and data transformation.
• Demonstrated success interacting with stakeholders to understand technical needs and ensuring analyses and solutions meet their needs effectively.
• Able to work in a fast-paced, deadline-driven environment as part of a team and as an individual contributor.
• Ability to easily move between business, analytical, and technical teams and articulate solution requirements for each group.
• Experience with Enterprise Business Intelligence Platform/Data platform i.e. Tableau, PowerBI will be a plus.
• Experience with cloud-based (SaaS) solutions, ETL processes or API integrations will be a plus.
• Experience on Cloud Data Platforms Azure/AWS will be a plus.
Education
• Bachelor’s or Master’s Degree in a Computer Science, Information Technology, Engineering, Mathematics, Statistics, M.S./M.B.A. preferred
Additional Competencies
• Excellent English, quantitative, technical, and communication (oral/written) skills
• Analytical/Problem Solving
• Strong attention to detail and quality
• Creativity/Innovation
• Self-motivated, operates with a sense of urgency
• Project Management/Risk Mitigation
• Able to prioritize and perform multiple tasks simultaneously
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.
