Description
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
Lead Data Scientist, Custom Analytics & AI OverviewMastercard Data & Services enables customers across industries and geographies to make smarter decisions and reach better outcomes with a tailored portfolio of solutions beyond the transaction.
The D&S global product team is seeking a Lead Data Scientist to support the evolution and expansion of the Targeting Analytics product suite.
You will work hands-on with product managers, engineers, and designers to build products and solutions based on our analytics consulting work
You will collaborate with our regional and frontline teams to accelerate growth of the business
Product Management in Data & Services at Mastercard
Translate a deep understanding of our customers into products and solutions that drive significant customer value
Balance the long-term direction of a product with today's needs and constraints by fully understanding the technical, competitive, and commercial contexts of our products
Act as connectors to ensure the commercial success of our products by working with Sales and Marketing while ensuring technical success through close partnership with Technology teams
Drive globally-relevant solutions by understanding regional needs and tradeoffs, and build scalable products that serve an array of customer segments
Set product direction with coordination, not isolation—taking into account how our products all work together to serve customer needs
Role
Use the full range of data science based techniques to develop new and novel algorithms, perform proof-of-concept projects, and engage in product design & prototyping to aid existing and new analytics products within custom analytics, configured analytics, and new products derived from custom and configured analytics
Be ready to learn new technologies as required and engage with legacy and future technology stacks
Write white papers, patents, and client facing data visualisations.
Support regional and frontline teams as an analytic expert, developing sales enablement materials and providing training / support when needed
Manage external relationships with suppliers and partners in compliance with all Mastercard policies and procedures
Navigate across cultures and geographies, communicate with technical and non-technical audiences, and leverage strong relationships with key groups across Mastercard to gain support and buy-in for key decisions
Emulate and drive Mastercard Way behaviors through behavior, recognition, coaching, and employee engagement.
Make creative technical decisions and strong tradeoff decisions to enhance functionality, time to market, and feasibility
Drive institutionalized knowledge through the use of consistent documentation (e.g., support documents) across all processes to support knowledge management and ensure consistency and repeatability across projects
Consider the full impact of your work. This means considering privacy, security, and regulation, as well as the performance of your code and the accuracy of your models.
All About You
Demonstrated ability to operate independently
Excellent problem-solving, critical thinking and analytical skills
You are a Python native. You are familiar with standard data science libraries such as pandas and scikit-learn, streaming technologies and algorithms (e.g. Kafka, stochastic gradient descent, Bloom Filters), as well as next generation machine learning techniques and tools, including Deep Neural Networks and Large Language Models.
Proven track record of successfully developing and scaling B2B products and solutions, leveraging data, analytics, and AI/ML to create value for customers
Hands-on, action oriented, and results oriented, with strong prioritization and project management skills
Can communicate to executives, peers, and team members — technical and non-technical — with impact, eloquence, and authenticity
Ability to build and maintain strong, productive, collaborative working relationships with internal stakeholders over cross-functional teams from multiple regions
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.
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