Data Scientist II

Mastercard; Helena (MT); On-site; USD 90,000 - 140,000; Full time

Job summary

Mastercard is seeking a Data Scientist II for the Data & Product Analytics team. You will architect and maintain advanced reporting and visualization on large datasets, translating business requirements into robust solutions and repeatable processes across global teams.

Strong SQL, Python, and visualization tool proficiency are essential for delivering actionable insights. Ideal candidates have 3–6 years in data analytics, experience with Tableau/PowerBI, and a background in data management and

Qualifications

• 3-6 years of experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis.
• Experience with data visualization libraries/tools such as D3.js, three.js, Highcharts, SVG, HTML5, WebGL.
• Experience with platforms/environments: SQL Server, Microsoft BI Stack.
• Proficiency with Tableau, Domo, PowerBI is a must; industry certifications are a plus.
• Financial/Payments experience is a plus.
• Experience presenting data findings in readable, insight-driven formats and building supporting decks.
• Experience automating workflows with Python, Tableau prep, or R.
• Experience with big data batch and streaming tools (Spark, AWS, Hadoop).
• Proficiency in Python, Scala, or R scripting languages.
• Advanced SQL coding is essential.
• Experience with SSIS/SSAS/SSRS is a plus for data modeling.

Responsibilities

• Architect, develop, and maintain advanced reporting and data visualization on large data sets to support analytics across products, markets, and services.
• Translate business requirements into concrete solution specifications and on-time deliverables.
• Create repeatable processes to support modeling and reporting development.
• Manipulate large-scale databases to synthesize data insights using appropriate tools.
• Apply data quality controls, validation, and cleansing to new and existing data sources.
• Serve as a single point of contact for stakeholder requirements and communications across business and tech.

Skills

Advanced SQL

Python

R

Bash scripting

Data visualization

Analytical thinking

Education

Bachelor's or Master's in CS/IT/Engineering/Math/Statistics

Tools

Tableau

PowerBI

D3.js

three.js

Highcharts

SVG/HTML5/WebGL

SQL Server / Microsoft BI Stack

SSIS/SSAS/SSRS

Spark

Hadoop

AWS tools

Job description

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build asustainableeconomy where everyone can prosper. We support a wide range of digital payments choices, making transactionssecure, 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

Data Scientist IIJob Description – Data & Product Analytics Team – Data Visualization Expert / Data Scientist IIOverviewData & Analytics 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. The Mastercard Commercial Analytics team is responsible for expansion of business-to-business analytics footprint and for delivering incremental business insights, volume opportunities across commercial products.

• 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 six 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.
• Apply quality control, data validation, and cleansing processes to new and existing data sources
• Connect with stakeholders across business and technology and serve as a SPOC for all the requirements and communications.

All About You

• Experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis for about 3-6 years
• Experience with Data Visualization libraries/tools like D3.js, three.js, Highcharts, SVG, HTML5, WebGL
• Experience on Platforms/Environments: SQL Server, Microsoft BI Stack
• Experience with data visualization tools such as Tableau, Domo, PowerBI is a must. Industry standard certification credentials are a plus
• Financial Institution or a Payments experience a plus
• Experience presenting data findings in a readable and insight driven format. Experience building support decks.
• Experience in building automation flow using Alteryx/ Tableau prep/ Python/ R
• Experience using big data batch and streaming tools (Spark, AWS tools, Hadoop)
• Experience with function scripting languages: Python, Scala, R
• Advanced SQL coding is a must
• Experience on SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS) and SQL Server Reporting Services (SSRS) will be an added advantage
• Experience in building data models a must
• Understanding of full stack and product management concepts around product strategy, business case, high-level technical use case and ROI measurement
• Excellent problem solving, quantitative and analytical skills
• Scripting knowledge with Python and Bash are essentials
• ETL(Logic) using python, SQL, and NoSQL databases, API
• 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 with excellent communication skills
• Strong diligence and quality focused
• Creativity/Innovation with focused on solution
• Initiative-taking, operates with a sense of urgency
• Product 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.