Competitive salary; bonus plan subject to the comp...
Hybrid
Advanced statistical methodologies
Modern data science techniques
Doe, spc, regression, glms
Mericalherbs is seeking a Data Scientist to join their S&T Data Science & Biostatistics team, which focuses on enhancing data-driven decision-making within Global Animal Health Manufacturing. The ideal candidate will have strong statistical knowledge and experience in data science, specifically in a pharmaceutical or manufacturing setting, and will be responsible for leading various analytical projects
Job Summary
The S&T Data Science & Biostatistics team is at the forefront of enabling data‑informed decision‑making across Global Animal Health Manufacturing.
You will contribute to key business areas such as quality control, yield optimization, maintenance, deviation management, and regulatory submissions.
We welcome you to a truly global, dynamic and challenging environment with great opportunities for personal development.
Matching Summary
Match Score: 85
Mericalherbs is seeking a Data Scientist to join their S&T Data Science & Biostatistics team, which focuses on enhancing data-driven decision-making within Global Animal Health Manufacturing. The ideal candidate will have strong statistical knowledge and experience in data science, specifically in a pharmaceutical or manufacturing setting, and will be responsible for leading various analytical projects.
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
R or Python proficiency
strong coding practices
collaborative tools (e.g., Git)
Nice-to-have
work in an international environment
room for personal development
scientific rigor, curiosity
continuous learning
innovation-driven team
work with incomplete or imperfect data
analytical and problem-solving skills
excellent communication and interpersonal skills
Key Requirements
MSc (or higher) in Statistics, Mathematics, Computer Science, Physics, Economics, or related field
Minimum 2 years’ hands-on experience
preferably in pharmaceutical or manufacturing environments