Senior AI/ML scientist in Computational Toxicology driving advanced AI/ML solutions for safer drug discovery and regulatory methodologies.
About the role
- Senior Data Scientist working on data science and AI projects for industrial companies. Designing and implementing machine learning models while collaborating with a dynamic team in a hybrid environment.
Responsibilities
- Responsible for the technical implementation of data science projects
- Support the team with data processing, feature engineering and model development
- Collaborate with software engineers to deliver scalable solutions
- Optimize existing machine learning models
- Communicate methods and results to clients
Requirements
- BSc/MSc/PhD in a technical field
- At least 3 years of professional experience in Data Science or Machine Learning
- Analytical mindset
- Structured and goal-oriented working style
- At least 3 years of experience with Python
- Experience with version control (Git)
- Advanced knowledge of TensorFlow, Scikit-learn, Pandas, Docker, etc.
- Good command of English; German skills are a plus
Benefits
- Pleasant working environment in a human-centered company
- Choice of work device
- Interdisciplinary, international, agile team
- Flexible working hours and hybrid work
- Feedback culture
- Lunch subsidy as well as free drinks and snacks
- Opportunities for personal development
- Lively company culture with team outings and sporting events
- Mentoring program with a buddy during the onboarding period
Job title
Job type
Experience level
Salary
Degree requirement
No Education Requirement
Tech skills
Location requirements
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