Manager, 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

Manager, Data Scientist

Manager – Product Data & Analytics
Overview
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.
• 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?
• Do you want to be the go-to resource for data analytics in the company?
The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our company.
Role & Responsibilities
• Work closely with global enterprise gateway team to develop an analytic solution (e.g., dashboards, prototypes), utilizing complex statistical and data science techniques that adhere to best practices and communicate a story on large volumes of data to support data insights across products, markets, and services.
• Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
• Translate business requirements into tangible technical solution specifications and high quality, on time deliverables.
• Strongly supports 80/20 principles to support development of modelling and reporting
• Effectively use tools to manipulate large-scale databases, synthesizing data insights.
• Provide 1st level insights/conclusions/assessments and present findings via Tableau/PowerBI dashboards, Excel, and PowerPoint.
• Apply quality control, data validation, and cleansing processes to new and existing data sources.
• Recruit, train, develop and supervise analyst-level employees.
• Communicate results and business impacts of insight initiatives to stakeholders in leadership, technology, sales and product teams.
All about You
• A superior academic record at a leading university in Computer Science, Data Science, Technology, mathematics, statistics, or equivalent work experience.
• High proficiency in using Alteryx, Python/Spark, Hadoop platforms & tools (Hive, Impala, Airflow), and advanced SQL to build Big Data products & platforms
• Demonstrated success interacting with stakeholders to understand technical needs and ensuring analyses and solutions meet their needs effectively.
• Ability to build a strong narrative on the business value of products and actively participate in the product optimization efforts.
• Able to work in a fast-paced, deadline-driven environment as part of a team and as an individual contributor.
• Ability to easily move between business, analytical, and technical teams, and articulate solution requirements for each group.
• Experience with Enterprise Business Intelligence Platform/Data platform i.e. Tableau, PowerBI, Certification is a plus.
• In depth technical knowledge, drive, and ability to learn new technologies.
• Knowledge of ML frameworks, libraries, data structures, data modelling, and software architecture is a plus.
• Must be able to perform in a team, use judgment and operate under ambiguity
Education
• Bachelor’s or master’s Degree in a Computer Science, Information Technology, Engineering, Mathematics, Statistics, M.S./M.B.A. preferred
Additional Competencies
• Excellent English, quantitative, technical, and communication (oral/written) skills
• Analytical/Problem Solving
• Strong attention to detail and quality
• Creativity/Innovation
• Self-motivated, operates with a sense of urgency
• Project Management/Risk Mitigation
• Able to prioritize and perform multiple tasks simultaneously

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.