Data Scientist

Main Responsibilities & Tasks:
• Methodology Development: Develop new data analysis methods and technologies in line with the department roadmap. This includes performing statistical design and evaluation of experiments, multivariate data analysis, and harnessing predictive modeling approaches.
• Continuous Improvement: Monitor model performance and make iterative improvements based on feedback and new data.
• Innovation: Explore novel AI/ML approaches to enhance cell culture media development processes.
• Project Leadership: Propose, execute and lead ML- and data-based work packages within defined projects in related technology areas according to company strategy and guidelines.
• IT & Data Infrastructure: Plan and drive implementation of required IT infrastructure for delivering project results.
• Reporting: Evaluate, analyze and present project results
• Expert Engagement: Actively participate in internal and external expert groups and/or networks
• Data Pipeline Maintenance: Design, build, test and maintain robust data processing pipelines.
דרישות התפקיד
• Master’s degree in Science, Engineering or Computer/Data Science; minimum Bachelor's degree in a relevant field.
• Basic understanding of SQL and database concepts.
• Experience in industry with a proven track record (experience in respective technology areas of Sartorius is a plus).
• Very good written and verbal English communication skills.
• Ability to work self-driven and with a high level of self-motivation.
• Strong analytical and conceptual thinking skills to solve complex problems.
• Interest in cloud data platforms and data engineering.
• Confident handling of MS Office.
• 3+ years of work experience (or 7+ years of work experience with a Bachelor's degree).
• Solid working knowledge of Python is required, with familiarity in libraries such as Pandas, scikit-learn and other Python ML libraries.
• Experienced in statistical analysis and relevant programming languages and software tools.
• Deployment capabilities and adaptation of existing data-driven solutions to new applications.