Competitive salary; bonus plan subject to the comp...
Hybrid
Advanced statistical methodologies
Modern data science techniques
Predictive modeling
Imsapharma Com Ar is seeking a Data Scientist to join their S&T Data Science & Biostatistics team, focusing on data-driven decision-making in Global Animal Health Manufacturing. The ideal candidate will have a strong background in statistics and data science, working collaboratively to solve complex challenges in pharmaceutical manufacturing
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 results clearly to diverse audiences.
We offer a truly global, dynamic, and challenging environment with great opportunities for personal development, competitive salary, 35.5 days of leave, attractive health care insurance, and a solid pension plan.
Matching Summary
Match Score: 85
Imsapharma Com Ar is seeking a Data Scientist to join their S&T Data Science & Biostatistics team, focusing on data-driven decision-making in Global Animal Health Manufacturing. The ideal candidate will have a strong background in statistics and data science, working collaboratively to solve complex challenges in pharmaceutical manufacturing.
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
predictive modeling
machine learning
R or Python proficiency
Git collaborative tools
Nice-to-have
curiosity and continuous learning
innovation-driven environment
scientific rigor
domain expertise
Key Requirements
MSc or higher in Statistics, Mathematics, Computer Science, Physics, Economics, or related field
Minimum 2 years' hands-on experience
Knowledge of DOE, SPC, GLMs, multivariate methods, simulations, predictive modeling, time series, stochastic processes, optimization, and machine learning