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

Our Vision:

The Data & Analytics team builds internal analytic partnerships, strengthening focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, new product development and Go-To Market strategies. We are a hands-on global team providing scalable end-to-end data solutions. Working closely with the business, we influence decisions across Mastercard through data driven insights. We are a team on analytics engineers, data architects, BI developers, data analysts and data scientists, and fully manage our own data assets and solutions.
• 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 Global Analytics team that builds large scale Analytical Capabilities supporting end users across 6 continents?
• Are you interested in proactively looking to improve data driven decisions for a global corporation?
Ideal candidate should have passion to propose creative and scalable solutions to existing challenges using AI/ML techniques.

Role:
• Work closely with global & regional teams to architect, develop, and maintain advanced analytics. Able to develop AI/ML capabilities, as needed on large volumes of data to support analytics and reporting needs across products, markets and services.

• Gather relevant information to define the business problem interfacing with global stakeholders.
• Creative thinker capable of linking AI methodologies to identified business challenges and propose scalable solutions.
• Able to build end to end reusable, multi-purpose AI models to drive automated insights and recommendations.
• Develop AI/ML solutions/applications leveraging the latest industry and academic advancements.
• Leverage open and closed source technologies to solve business problems.
• Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda.
All About You:

Experience:
• 5-8 years of experience in the Data Sciences field with a focus on developing solutions from scratch
• Proven track record of developing and implementing AI strategies at scale, solving identified business problems, and achieving optimization in the product development and management lifecycle in addition to operational efficiencies.
• Prototype new algorithms, experiment, evaluate and deliver actionable insights.
• Demonstrated leadership capability of executing the AI agenda while managing complex variables including Information and Data Governance, Data Management, Information Security, Privacy & Compliance, Content Life cycle Management, and Records Retention Demonstrated ability to deliver high quality AI solutions in a matrix organization, thinking out of the box and solving hard problems while navigating through ambiguity.
• Demonstrated expertise in the Data Sciences with established credibility in the field including patent submissions and experience working with start-ups.
• Able to work in a fast-paced, deadline-driven environment as part of a team and as an individual contributor.
Previous experience with or exposure to:
• Deep Learning algorithm techniques, open-source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL.
• Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning.
• Gain insights from text, including non-language tokens and use the thought process of annotations in text analysis.
• Have experience of implementing a Chatbot.
• Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil.
• Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks - Feedforward, CNN, LSTM's GRU's is a plus. Optimization techniques - Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets - Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech, and Image processing.
• Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus.
Exposure or experience using collaboration tools such as:
• SQL / Database experience is preferred
• Confluence (Documentation).
• Bitbucket/Stash (Code Sharing).
• Shared Folders (File Sharing).
• ALM (Project Management).
• Strong desire to collaborate and ability to come up with creative solutions.
• Knowledge of the payments industry a plus.
Effectiveness:
• Effective at managing and validating assumptions with key stakeholders in compressed timeframes, without hampering development momentum.
• Capable of navigating a complex organization in a relentless pursuit of answers and clarity.
• Enthusiasm for Data Sciences enabling the identification, design, and deployment of optimal AI and machine learning business opportunities and the creative application of AI techniques to improve an organization's effectiveness.
• Proven thought-leadership when evaluating business problems and architecting a cohesive solution.
• Ability to understand technical system architecture and overarching function along with interdependency elements, as well as anticipate challenges for immediate remediation.
• Ability to unpack complex problems into addressable segments and evaluate AI methods most applicable to addressing the segment.
• Incredible attention to detail and focus instilling confidence without qualification in developed solutions.
Core Capabilities:
• Strong written and oral communication skills.
• Strong project management skills.
• Experience leading teams a plus.
• Bachelor's degree required. Advanced degree in Management, Mathematics, Computer Science, Engineering, or other quantitative fields desirable.

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.