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Dennemeyer

Data Scientist (f/m)

Dennemeyer
Luxembourg · Full-time · Entry
Team spirit and initiative are your most prominent strengths and you are motivated to develop a long-term career in Intellectual Property, in a multicultural work environment? Apply now!

Your Mission

  • Collecting, structuring and analyzing large (market and industry) data sets to scrutinize and steer strategic decisions on a global scale
  • Use predictive modeling to enhance customer experiences, increase revenue, improve ad targeting, and optimize other business outcomes.
  • Revealing competitive behavior in a global and highly-specialized niche market, investigating consumer pattern by gathering and evaluating internally and externally available data
  • Collaborate within the Data Lab team alongside Data Scientists, Data Engineers and Full-Stack Developers.
  • Work closely with Data Analysts in the Data Analytics Department.
  • Partner with business stakeholders to implement models and monitor performance outcomes.
  • Support the company’s cloud migration initiatives, particularly on Azure.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.
  • Create and maintain clear technical documentation.


Your Profile

  • Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, or a related field.
  • Minimum 2 years’ professional experience as a Data Scientist or in a similar role.
  • Proficiency in statistical programming languages such as Python and SQL to manipulate large datasets and extract insights.
  • Familiarity with version control (Git), DevOps, and agile development methodologies is a plus.
  • Solid understanding of machine learning techniques (e.g., clustering, decision trees, neural networks) and their practical pros and cons.
  • Strong grasp of advanced statistical concepts (e.g., regression, probability distributions, hypothesis testing) and applied experience.
  • Hands-on experience with Azure cloud migration is a plus.
  • Strong analytical, investigative, and problem-solving skills combined with business acumen.
  • Self-motivated, eager to learn, collaborative, and able to work independently.
  • Fluency in English (written and spoken) is mandatory.


Why Join Us?

  • Develop and customize your long-time career within a fast growing multinational company
  • Enjoy working in multicultural teams and contribute to a diverse and international working environment
  • Organize your lifestyle with flexible working hours
  • Take the opportunity to act independently and entrepreneurial in your area of responsibility and profit from flat hierarchies and short decision-making processes
  • Celebrate success together as one team at our various corporate events
  • Attend a tailor-made onboarding program as well as individual training & development opportunities
  • Contribute through your personality and your daily work to make an impact on our business, corporate culture, society and environment


Dennemeyer is an Equal Opportunity Employer. Dennemeyer does not discriminate on the basis of race, religion, color, sex, gender identity or expression, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Dennemeyer is an Equal Opportunity Employer. Dennemeyer does not discriminate on the basis of race, religion, color, sex, gender identity or expression, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Key Skills

Ranked by relevance

cloud machine learning neural networks python devops git sql
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Country Guide

Luxembourg

High-value international enterprise and fintech hub

Posted
Sep 29, 2025
Type
Full-time
Level
Entry
Location
Luxembourg
Company
Dennemeyer

Industries

Law Practice

Categories

Engineering Information Technology

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