Senior Data Scientist, Product Data & Analytics

About the job

Job Title: Senior Data Scientist, Product Data & Analytics Overview: Senior Data Scientist, Product Data & Analytics Our Vision: Product 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 by working closely with the business. We influence decisions across Mastercard through data-driven insights. Role • Responsible for developing data-driven innovative scalable analytical solutions and identifying opportunities to support business and client needs in a quantitative manner and facilitate informed recommendations / decisions. • Accountable for delivering high quality project solutions and tools within agreed upon timelines and budget parameters and conducting post-implementation reviews. • Contributes to the development of custom analyses and solutions, derives insights from extracted data to solve critical business questions. • Activities include developing and creating predictive models, behavioural segmentation frameworks, profitability analyses, ad hoc reporting, and data visualizations. • Able to develop AI/ML capabilities, as needed on large volumes of data to support analytics and reporting needs across products, markets and services. • Able to build end to end reusable, multi-purpose AI models to drive automated insights and recommendations. • Leverage open and closed source technologies to solve business problems. • Work closely with global & regional 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. • Support initiatives in developing predictive models, behavioural segmentation frameworks, profitability analyses, ad hoc reporting, and data visualizations. • Translates client/stakeholder needs into technical analyses and/or custom solutions in collaboration with internal and external partners, derive insights and present findings and outcomes to clients/stakeholders to solve critical business questions. • Create repeatable processes to support development of modeling and reporting. • Delegate and reviews work for junior level colleagues to ensure downstream applications and tools are not compromised or delayed. • Serves as a mentor for junior-level colleagues, and develops talent via ongoing technical training, peer review etc. All About You • 6-8 years of experience in data management, data mining, data analytics, data 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, Cloud, Snowflake, and other relevant technologies. • Data visualization tools (Tableau, Domo, and/or Power BI/similar tools) experience is a plus. • Experience with data validation, quality control and cleansing processes to new and existing data sources. • Experience on Classical and Deep Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks - Feedforward, CNN, NLP, etc. • Experience on Deep Learning algorithm techniques, open-source tools and technologies, statistical tools, and programming environments such as Python, R, and Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning.

Requirements

• data management
• data mining
• data analytics
• predictive models
• AI/ML capabilities

Preferred Technologies

• data management
• data mining
• data analytics
• predictive models
• AI/ML capabilities

About the company

Mastercard is a technology company in the global payments industry, helping to connect consumers, businesses, merchants, issuers & governments around the world. The company has a vision to provide innovative solutions, tools, and services, helping people and businesses achieve their financial goals.