Data Scientist

39med

Competitive salary; bonus plan subject to the comp...
Hybrid
Advanced statistical methodologies
Modern data science techniques
Pharmaceutical manufacturing context
We have an exciting opportunity for a Data Scientist to work in a company where your work can have a real impact in an international environment with lots of room for personal development

Job Summary

  • We have an exciting opportunity for a Data Scientist to work in a company where your work can have a real impact in an international environment with lots of room for personal development.
  • You will lead end-to-end data science and statistical projects to address manufacturing challenges, applying advanced methods and collaborating closely with Operations, Quality, Engineering, and Regulatory teams.
  • We offer a truly global, dynamic and challenging environment with great opportunities for personal development, competitive salary, 35.5 days of leave, attractive collective health care insurance, and a solid pension plan.

Matching Summary

We have an exciting opportunity for a Data Scientist to work in a company where your work can have a real impact in an international environment with lots of room for personal development.

Salary

Competitive salary; Bonus plan subject to the company annual results; Attractive collective health care insurance package with considerable reduction rates

Skills & Requirements

Must-have

  • advanced statistical methodologies
  • modern data science techniques
  • pharmaceutical manufacturing context
  • DOE, SPC, regression, GLMs
  • multivariate analysis, optimization, simulation
  • predictive modeling, machine learning
  • R or Python proficiency
  • Git collaborative tools

Nice-to-have

  • personal development opportunities
  • international environment
  • innovation-driven team
  • scientific rigor and curiosity
  • continuous learning culture

Key Requirements

  • MSc or higher in Statistics, Mathematics, Computer Science, Physics, Economics, or related field
  • Minimum 2 years' hands-on experience
  • Experience in pharmaceutical or manufacturing environments
  • Ability to work with incomplete or imperfect data
  • Strong analytical and problem-solving skills
  • Excellent communication and interpersonal skills

Work Rights

Not specified

Tailored Resume

Cover Letter