Data Scientist (f/m) - Luxembourg
Luxembourg, Esch-sur-Alzette - full-time - 20.10.2021

Flen Health is an international family-owned company with ambitious growth plans in the pharmaceutical and medical device technological domain. Flen Health has a range of products for wound and skin care, several new products in the pipeline and research cooperation agreements in Europe and the USA.

At Flen Health, we are convinced that we do help people live the life they love through developing innovative technologies and bringing these to patients across the globe. We focus on patients with topical inflammatory and infectious diseases.

At Flen Health, we expect you to show grit, to take ownership of your initiatives, to go for it and we guarantee that you will then appreciate the result of your work, whether individually, as a team or company-wide as Flen Health. As an intrapreneur, you will enjoy working in a multicultural diverse environment where trust and open communication are key, and where a positive can-do attitude drives sustainable growth. We offer a flexible working eco-system, enthusiastic colleagues, and an attractive remuneration package.

We are looking for Data Scientist for an immediate start to reinforce our R&D team. This is a permanent full-time position based in our office in Luxembourg, reporting directly to the Vice-President R&D. As Data Scientist, you are familiar with AI tools and algorithms, you use statistical and analytical methods to automate specific processes within the organization and develop smart solutions to the innovation and business challenges we face. This is the right role for you if you can combine your technical and analytical skills with good communication to meet the market demands of our company.

 

What we offer:

  • Excellent working conditions
  • An innovative and inspiring work environment
  • Independent project work & responsibilities within a professional team
  • Career prospect
  • Learning and development opportunities
  • Competitive remuneration according to experience  

Your responsibilities:

  • You select features, build, and optimize classifiers using machine learning techniques
  • You carry out pre-processing of structured and unstructured data
  • You do data mining using state-of-the-art methods
  • You analyse large amounts of information to find patterns and solutions
  • You identify and solve complex problems with data-driven solutions
  • You process, cleanse, and verify the integrity of data used for analysis
  • You extend company’s data with third party sources of information when needed
  • You enhance data collection procedures to include information that is relevant for building analytic systems
  • You develop prediction systems and machine learning algorithms
  • You do ad-hoc analysis and present results in a clear manner
  • You create automated anomaly detection systems with constant performance tracking

Your qualifications & experience:

  • You hold a Master degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, Data Management etc.)
  • You can demonstrate at least 5 years of successful professional experience AI and data management as well as 2 years experience leading teams and projects
  • You have a great deal of knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests
  • You have strong knowledge and skills of:
    • Math (Multivariable Calculus and Linear Algebra)
    • Programming practice
    • Languages like R and Python
    • Statistics
    • Database query languages like SQL, Hive, Pig
  • You have a solid experience with:
    • Data Visualization Tools like matplotlib, ggplot, d3.js.
    • Software Engineering Background
    • Hands-on experience with data science tool
  • If you have a familiarity with Scala, Java, or C++ it’s an additional advantage
  • You demonstrate excellent communication skills  
  • You have a analytical mind and great business sense
  • You are fluent (written and verbal) in English,
  • Knowledge of French, Dutch or German are an asset

Are you interested in working with an ambitious and highly dedicated team?

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