Data Scientist II

Overview

Job Description – Data Analytics Team – Data Scientist II

We build internal analytic partnerships, strengthening their 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 brings 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
  - to resource for data analytics in the company?

Role

• Work closely with global & regional teams to architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data in order to support analytics and reporting needs across products, markets and services.
• Translate business requirements into tangible solution specifications and high quality, on time deliverables.
• Create repeatable processes to support development of modeling and reporting.
• Effectively use tools to manipulate large‑scale databases, synthesizing data insights. Provide 1st level insights/conclusions/assessments and present findings via Tableau/Power
  BI dashboards, Excel and Power
  Point.
• Apply quality control, data validation, and cleansing processes to new and existing data sources.
• Adhere to hybrid work policy (3 or more days per week on average working in the assigned Mastercard office).

All About You

• 2-4 years of experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis.
• Experience presenting data findings in a readable and insight driven format.
• Advanced SQL coding.
• Experience with data visualization tools such as Tableau, Domo, Power
  BI.
• Experience with data science techniques (e. g. , machine learning, predictive modeling, statistical analysis) a plus.
• Experience on Platforms/Environments: SQL Server, Microsoft BI Stack a plus.
• Experience on SQL Server Integration Services (SSIS) a plus.
• Experience in building data models a plus.
• Experience with Hadoop environments, Python, R, WPS a plus.
• Financial Institution or a Payments experience a plus.
• Excellent problem solving, quantitative and analytical skills.
• In depth technical knowledge, drive and ability to learn new technologies.
• Strong attention to detail and quality.
• Team player, excellent communication skills.
• Must be able to interact with management, internal stakeholders and collect requirements.
• 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.
• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.