Faculty position assistant professor data driven marketing data science for marketing

Laplace Apply; Lisboa; Hybrid; EUR 45,000 - 75,000; Full time

Job summary

NOVA Information Management School in Lisbon invites applications for a Faculty position: assistant professor in data driven marketing and data science for marketing. The role emphasizes data-science methods, ML techniques, and marketing analytics for research and teaching.

The appointment targets candidates with a PhD, a strong research agenda in marketing data science, and a commitment to methodological rigor in machine learning and analytics.

Qualifications

• PhD required in marketing, data science, or related field.
• Strong background in data-driven marketing research.
• Experience with ML methods for marketing analytics.

Responsibilities

• Conduct research in data-driven marketing and marketing analytics.
• Teach and supervise in relevant graduate programs.
• Develop methodological ML approaches for marketing data.

Skills

machine learning

marketing analytics

data science

Education

PhD in relevant field

Job description

Faculty position assistant professor data driven marketing data science for marketing

NOVA Information Management School

Portugal

2026-11-30 (date only; cutoff time not verified)

About This Opportunity

NOVA Information Management School is advertising Faculty position assistant professor data driven marketing data science for marketing in Lisbon, addressing the advertised assistant-professor opening concentrates on data-science methods for marketing research and practice, including statistical and computational analysis of commercial and consumer information.

The advertised assistant-professor opening concentrates on data-science methods for marketing research and practice, including statistical and computational analysis of commercial and consumer information.The advertisement identifies an application date of 2026-11-30. The exact cutoff time is not independently verified unless stated otherwise.Who This Opportunity Is Best Suited For:Based on the documented scope, the opportunity may be particularly suitable for data scientists with a PhD and a research agenda situated in marketing.Potential Challenges / Who May Find It Less Suitable:The role is academic and teaching-facing rather than a purely industry analytics position.Overall Opportunity Assessment:The methodological focus on machine learning and marketing analytics gives this appointment a specific research orientation. Applicants should assess their background against the documented role requirements and constraints.

machine learning marketing analytics data science

Level Researcher

Organization Type University

Requirements

Education

Experience

Technical Skills machine learning marketing analytics data science