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

Overview:
We believe in power of data. We think creatively, design smart, simple to use, cost-effective solutions that empower our customer with actionable insights. The Global Pricing and Interchange team partners across regions and global business units to execute changes in economics aligned to product- and market-led strategy under a consistent strategic framework. The team leads the execution of initiatives whose complexity and scope require a global view and coordination. We advocate and drive revenue optimization, simplicity, enhanced customer and employee experience, and adherence to principles. The team identifies ways to leverage data for answering business questions and driving operational efficiency. We innovate using new age technologies and data analysis techniques to discover actionable insights and communicate data in new and more effective ways for influencing business decisions, encouraging long-term customer engagement, improving processes and productivity, and overall evolving the way we do business.
Technology stack
Our current primary tools for data analysis, data preparation and information delivery: Alteryx and Tableau
Core database environments: Oracle, MS SQL Server, Hadoop, Multi-dimensional databases

Responsibilities:
Responsible for developing data-driven innovative scalable analytical solutions and identifying opportunities to support Pricing and Interchange team in a quantitative manner and facilitate informed recommendations / decisions.
• Activities include performing simulations and creating predictive models, behavioral segmentation frameworks, profitability analyses, ad hoc reporting, and data visualizations.
• Work closely with global & regional pricing 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.
• Contributes to the development of custom analyses and solutions, derives insights from extracted data to solve critical business questions.
• Translates client/ stakeholder needs into technical analyses and/or solutions in collaboration with internal and external partners and presents findings and outcomes to clients/stakeholders.
• Accountable for delivering high quality project solutions and tools within agreed upon timelines and budget parameters and conducting post- implementation reviews.
Experiences
• Demonstrated success when contributing accurate, technically innovative components for analytics/ product development projects.
• Experience managing day-to-day cross-functional communications and collaboration to meet project deadlines.
• Demonstrated success collaborating with clients and effectively communicating project outcomes, methodologies, and considerations to key stakeholders.
• Successful track record in independently conducting complex analyses and guiding junior team members through complex/ ambiguous issues.

All About You:
• Intellectual curiosity and enthusiasm to apply data to discover and solve business challenges and questions.
• 5+ years of experience in data management, data mining, data analytics, data modeling and reporting, data product development and quantitative analysis.
• Advanced SQL skills, ability to write optimized queries for large data sets.
• Experience on Platforms/Environments: Cloudera Hadoop, Big data technology stack, SQL Server, Microsoft BI Stack, Snowflake, and other relevant technologies.
• Experience on Python, Scala, Hive, Impala, Spark, Cloud data platforms Azure/AWS, and other related technologies.
• Experience in data pipeline creation and transformation via tools such as Databricks, Power BI Fabric, Alteryx, SSIS etc.
• Advanced knowledge of any of the job scheduling tools such as Apache Airflow, NIFI, and other related tools.
• Experience with any one of data visualization tools (Tableau, Power BI/similar tools).
• Experience with data validation, quality control and cleansing processes to new and existing data sources.
• Experience developing complex analytics applications and data consulting.
• Financial Institution or a Payments experience a plus
• Problem solving mentality, resourcefulness and creativity in identifying solutions.
• Strong interpersonal skills, ability to build professional relationship, influence and negotiate.
• Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner with both technical and non-technical customers.
• Software development life cycle experience on analytics engagements across strategy, design and implementation

Desirable Capabilities
• Experience with machine learning algorithms and methods is a plus.
• Experience with predictive analytics and optimization models is a plus.
• Experience with leveraging APIs.

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.