Title and Summary

senior data scientist

Overview
• Responsible for developing data-driven innovative analytical solutions and identifying opportunities to support business and client needs in a quantitative manner and facilitate informed recommendations / decisions
• Activities include developing and creating predictive models, behavioral segmentation frameworks, profitability analyses, ad hoc reporting and data visualizations

Responsibilities
• Independently manages and manipulates large data sets and applies various technical and statistical analytical techniques (e.g., OLS, multinomial logistic regression, LDA, clustering and segmentation) to draw insights from large data sets
• Communicates with client counterparts to ensure customer needs are being addressed when designing data analyses and technical solutions
• Reviews and applies complex analytical techniques or tools to draw meaningful and insightful observations and trends from large/ complex data sets
• Develops sophisticated multivariate models and analytic solutions (e.g., dashboards, prototypes), utilizing complex statistical and data science techniques and methods
• Meets project deadlines for accountable deliverables and anticipates delays or foreseeable barriers to progress, escalating issues when necessary
• Conducts due diligence quality assurance testing for prototypes and tools in beta and resolves reoccurring complex issues and bugs
• Assist with data R&D work as delegated by senior level colleagues

Experiences
• Demonstrated ability to combine, interrogate, and manipulate large data sets
• Extensive experience leveraging open source tools, predictive analytics, machine learning, and other data techniques to perform complex analyses for project work
• Consistently delivered accurate, technically advanced and valid analyses with impactful insights and conclusions
• Demonstrated success when deciding on technical methodologies for project work
• Track record handling direct client communications professionally and effectively
• Extensive experience collaborating across functions within Mastercard (Technology specific)
• Served as an expert resource or go-to person for a specific consulting tool(s), system(s), and/or application(s)

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.