new
MastercardPosted 2w ago
L1
Data Scientist II
Data Scientist II at Mastercard scores 35 out of 100 on AI centrality, which makes it a Level 1 role on this board.
Lisbon, PortugalmidFull time
AI in this role
Build large-scale analytical capabilities and data science solutions supporting global product business units.
pythonsqlhadooptableaupowerbi
data-sciencedata-analyticsmachine-learningdata-mining
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
Data Scientist IIJob Description –Data Scientist II – L8 – LisbonRole Overview
We are seeking dynamic Data Scientist in our Product Data Analytics team, based in Lisbon , Portugal.
• 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?
Team overview:
Product Data & Analytics is a centralized global team that enables Mastercard product business units to make better data driven decisions. We build internal analytics partnerships that strengthen focus on business performance, portfolio and revenue optimization, initiative tracking, new product development, and go to market strategies. These capabilities are underpinned by our data platforms that enable insights to be delivered in a standardized, scalable, and cost efficient manner.
All About You
• 3+ years experience in Data Science, Data Analytics . Business Insights
• Experience across data analytics project lifecycle - data management, data mining, data analytics, data reporting, data product development
• Translate business requirements into tangible solution specifications and high quality, on time deliverables
Experience with data visualization tools such as Tableau, PowerBI
• Experience with Hadoop environments, SQL, Python
• Excellent problem solving, quantitative and analytical skills
• Team player, excellent communication skills
• Strong knowledge of latest AI/ML technologies and trends, including various libraries and tools
• Must be able to interact with management, senior stakeholders and collect requirements
Role
• 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.
Experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis
• Financial Institution or a Payments experience a plus
• Experience presenting data findings in a readable and insight driven format. Experience building support decks.
• Advanced SQL coding
• Experience on Platforms/Environments: SQL Server, Microsoft BI Stack
• Apply quality control, data validation, and cleansing processes to new and existing data sources
• 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 Excel and PowerPoint.
• Apply quality control, data validation, and cleansing processes to new and existing data sources
Education
•Bachelor's degree in Engineering, Computer Science, or a related field.
- Advanced degree (MBA, Master’s in Statistics, Data Science, or a related field) is highly preferred.
Additional Competencies
• Able to prioritize and perform multiple tasks simultaneously
• Creativity/Innovation
• Excellent English, quantitative, technical, and communication (oral/written) skills
• Analytical/Problem Solving
• Strong attention to detail and quality
• Self-motivated, operates with a sense of urgency
• Project Management
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.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Data ScienceData AnalyticsMachine LearningData MiningPythonSqlHadoopTableau
Questions you could be asked
- Tell me about a project where data science was part of your work. What did you do?
- Tell me about a project where data analytics was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where data mining was part of your work. What did you do?
- Walk me through how you've used Python in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Science, Data Analytics, Machine Learning, Data Mining, and Python. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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