Data Scientist

medhunter.de

Competitive salary; bonus plan subject to the comp...
Hybrid
Advanced statistical methodologies
Modern data science techniques
Doe, spc, regression, glms
Medhunter.de is seeking a Data Scientist to join their S&T Data Science & Biostatistics team, focusing on applying advanced statistical methods within the pharmaceutical manufacturing sector. The ideal candidate will have a strong statistical background, proficiency in R or Python, and a collaborative mindset to address complex analytical challenges

Job Summary

  • The S&T Data Science & Biostatistics team enables data-informed decision-making across Global Animal Health Manufacturing by combining advanced statistical methodologies, modern data science techniques, and deep domain expertise.
  • You will lead end-to-end data science and statistical projects to address manufacturing challenges, applying advanced methods and communicating complex results clearly to stakeholders.
  • We offer a truly global, dynamic and challenging environment with great opportunities for personal development and competitive benefits including salary, leave, health insurance, and a pension plan.

Matching Summary

Match Score: 85

Medhunter.de is seeking a Data Scientist to join their S&T Data Science & Biostatistics team, focusing on applying advanced statistical methods within the pharmaceutical manufacturing sector. The ideal candidate will have a strong statistical background, proficiency in R or Python, and a collaborative mindset to address complex analytical challenges.

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
  • DOE, SPC, regression, GLMs
  • multivariate analysis, optimization, simulation
  • predictive modeling, machine learning
  • Proficiency in R or Python
  • Strong coding practices, Git

Nice-to-have

  • international environment
  • room for personal development
  • innovation-driven team
  • scientific rigor, curiosity
  • continuous learning

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