Data Scientist - Machine Learning
Python
Data Scientist - Machine Learning
Bayer Sp. z o.o.
Białystok
Type of work
Undetermined
Experience
Mid
Employment Type
Permanent
Operating mode
Office
Bayer Sp. z o.o.
Digital Hub Warsaw - here the best and most creative minds work in a diverse and inclusive environment on groundbreaking solutions that support Bayer's vision of "health for all - hunger for none." We create digital solutions that change the future.
Tech stack
Python
Java
Job description
You will:
- Work globally, cross domain & cross technologies to support fast, small scale analytical prototypes as well as driving the scaling and industrialization of respective products
- Conceptualize, develop and deploy analytical solutions and products in on-premise and cloud environments (end-to-end)
- Translate non-technical and specific machine learning requirements into design specifications & reference architectures around data pipelines, CI/CD pipelines and hosting infrastructure
- Consult in analytical use cases in terms of software engineering related considerations to enable a smooth scale-up phase of prototypes into production
- Draft and implement operations & lifecycle management concepts for running & decommissioning analytical products and the underlying infrastructure
- Collaborate with product line leads and data scientists to manage the entire lifecycle of analytical products
We would expect from you:
- Minimum of a master’s degree in Computer Science, Mathematics, Statistics, Physics or comparable studies
- Expert knowledge in cloud engineering, preferably in AWS and Azure
- Advanced knowledge of data & machine learning pipelines and infrastructure, front-end applications and respective overarching software design patterns
- Advanced competencies around DevOps principles and tool stack (e.g. CI / CD, Docker, Kubernetes, Infrastructure as Code, event driven architecture, ELK Stack)
- Advanced knowledge in terms of relational (SQL-type) databases and data warehouses
- Experience with NoSQL databases (e.g. MongoDB) or big data infrastructure (Hadoop, Spark) beneficial
- Good knowledge in the following fields: Data Science, Statistics, Machine & Deep Learning, Data Visualization
- Strong programming skills in Python, JavaScript or comparable programming languages
- Strong conceptual, quantitative and problem-solving skills
- Focus competencies: Cultivates Innovation, Collaborates, Manages Complexity
- Ability to work successfully with people from a variety of different cultures and backgrounds
- Fluent in English, both written and spoken