4 days ago

Data Scientist II

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

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

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Mastercard

4 days ago

Data Scientist II

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

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

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

Glassdoor: 4.1

Website LinkedIn Glassdoor