Manager - Data Scientist

Mastercard
Lisbon
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 9+ yearsEducation: bachelorsSkills: ["Leadership","Mentorship","Problem-solving","Quantitative analysis","Communication"]

Lead and mentor a team of data analysts and senior data scientists within Product Data & Analytics, partnering with business units to drive portfolio, revenue, and go-to-market decisions. Own data analytics strategy and the delivery of high-quality analytics solutions, overseeing project planning and execution. Develop and deploy advanced predictive and prescriptive models, stay current on AI/ML innovation, and communicate insights to non-technical stakeholders.

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FursaFursa
Mastercard
Mastercard
1 month ago

Manager - Data Scientist

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Source: Company careers pageValidated by: Fursa AI
Status: Live

Job Summary

Lead and mentor a team of data analysts and senior data scientists within Product Data & Analytics, partnering with business units to drive portfolio, revenue, and go-to-market decisions. Own data analytics strategy and the delivery of high-quality analytics solutions, overseeing project planning and execution. Develop and deploy advanced predictive and prescriptive models, stay current on AI/ML innovation, and communicate insights to non-technical stakeholders.
Location: Lisbon
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •Lead, mentor, and develop a team of data analysts, senior data scientists, and business analysts; foster innovation and continuous learning.
  • •Develop and execute a comprehensive data analytics and data infrastructure strategy to drive insights and strategic decisions.
  • •Oversee planning, execution, and delivery of data analytics projects within scope, timeline, and quality standards.
  • •Lead development and deployment of advanced analytics models, including predictive and prescriptive analytics, to solve complex business problems.
  • •Collaborate with senior leadership and communicate complex insights and solutions effectively to non-technical stakeholders.

Key Requirements

  • •9+ years of experience in data science and data analytics/business insights.
  • •Experience coaching, training, and mentoring teams on data analytics solutions.
  • •Strong knowledge of current AI/ML technologies and trends, including data science libraries and tools.
  • •Experience across the data analytics project lifecycle (data management, data mining, reporting, and data product development).
  • •Experience with data visualization tools such as Tableau and Power BI, plus Hadoop environments, SQL, and Python.
Experience:9+ years
Education:Bachelor's in Engineering, Computer Science, or related field
Skills:LeadershipMentorshipProblem-solvingQuantitative analysisCommunication
Tech Stack:AI/MLTableauPower BIHadoopSQLPython

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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