Data Scientist II

Mastercard
Lisbon
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Problem-solving","Communication","Analytical skills","Teamwork","Attention to detail"]

Join Mastercard’s Product Data & Analytics team in Lisbon to turn business needs into high-quality data analytics solutions. Use Python, SQL, and Hadoop to analyze large-scale databases, validate and cleanse data, and build repeatable modeling and reporting processes. Communicate insights through Tableau/PowerBI dashboards, Excel, and PowerPoint, collaborating with stakeholders across global product teams.

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Mastercard
Mastercard
1 month ago

Data Scientist II

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Source: Company careers pageValidated by: Fursa AI
Status: Live
Reposted: similar role first listed 5 months ago

Job Summary

Join Mastercard’s Product Data & Analytics team in Lisbon to turn business needs into high-quality data analytics solutions. Use Python, SQL, and Hadoop to analyze large-scale databases, validate and cleanse data, and build repeatable modeling and reporting processes. Communicate insights through Tableau/PowerBI dashboards, Excel, and PowerPoint, collaborating with stakeholders across global product teams.
Location: Lisbon
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Manipulate large-scale databases to synthesize insights and provide first-level conclusions and assessments.
  • •Present findings using Tableau/PowerBI dashboards, Excel, and PowerPoint, including support decks.
  • •Perform data management, data mining, data analytics, data reporting, data product development, and quantitative analysis.
  • •Apply quality control, data validation, and cleansing processes to new and existing data sources.
  • •Create repeatable processes to support development of modeling and reporting, translating business requirements into deliverables.

Key Requirements

  • •3+ years of experience in Data Science and Data Analytics / Business Insights.
  • •Experience across the data analytics project lifecycle, including data management, data mining, data analytics, reporting, and data product development.
  • •Ability to translate business requirements into solution specifications and deliver high-quality, on-time outputs.
  • •Experience with data visualization tools such as Tableau and PowerBI.
  • •Experience with Hadoop environments, SQL, and Python, plus strong quantitative and analytical problem-solving skills.
Education:Bachelor's in Engineering, Computer Science, or a related field
Skills:Problem-solvingCommunicationAnalytical skillsTeamworkAttention to detail
Languages:English
Tech Stack:TableauPowerBIExcelPowerPointHadoopSQLPythonAI/MLSQL ServerMicrosoft BI Stack

Company Brief

Mastercard
Mastercard is a global payments and technology company that processes transactions, provides fraud prevention and data services, and builds payment infrastructure for consumers, businesses, merchants and governments across 200+ countries.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Purchase, New York, United States
Founded: 1966
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Glassdoor: 4.1
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