Data Scientist II

Descrição do trabalho

Job Title:

Data Scientist II

Overview:

Job Description – Data Analytics Team – Data Scientist II
Overview
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 go-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/PowerBI dashboards, Excel and PowerPoint.
• Apply quality control, data validation, and cleansing processes to new and existing data sources
• Adhere to hybrid work policy (Hybrid work is defined as 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. Experience building support decks
• Advanced SQL coding
• Experience with data visualization tools such as Tableau, Domo, PowerBI
• 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

To find US Salary Ranges, visit People Place. Under the Compensation tab, select "Salary Structures." Within the text of "Salary Structures," click on the link "salary structures 2025," through which you will be able to access the salary ranges for each Mastercard job family. For more information regarding US benefits, visit People Place and review the Benefits tab and the Time Off & Leave tab.