Bayer is looking to solve R&D Data Science needs by developing and delivering cross-functional Data Science capabilities and analytics stacks, requiring a Full Stack Data Scientist to manage the technology stack and coordinate development efforts.
Requirements
- Proficiency in frontend technologies: React, Angular, or Vue.js;
- Strong experience with backend frameworks: Node.js, Python (Flask, FastAPI, Django), or Java;
- Solid understanding of RESTful APIs, GraphQL, and WebSockets;
- Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes);
- Familiarity with CI/CD pipelines, Git, and agile development practices;
- Knowledge of database systems: SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis);
- Experience with data visualization libraries (D3.js, Plotly, etc.);
Responsibilities
- Design, develop, and maintain full stack applications to support R&D initiatives;
- Collaborate with data scientists, ML engineers, and domain experts to translate research prototypes into production-ready tools;
- Build intuitive user interfaces and robust backend systems for data visualization, model interaction, and experimentation;
- Develop APIs and microservices to integrate with internal platforms and external data sources;
- Optimize performance, scalability, and reliability of R&D tools and applications;
- Participate in architectural discussions and contribute to technical strategy for R&D software infrastructure;
- Rapidly prototype new ideas and iterate based on feedback from researchers and stakeholders;
Other
- MSc in statistics, mathematics, informatics, computer sciences, ML Ops, Computer Engineering, or similar education;
- Ability to work in a collaborative, interdisciplinary team environment;
- Experience in GxP/CSV & IT project or business process design;
- Extensive experience in Data Science capability assessment and analysis;
- Preferred project management experience;
