Senior Data Scientist at The Heineken Company

Key Roles and Responsibilities 

• Optimise technical design of the Product Recommender (PR) platform, in consultation with the Lead Data Scientist
• Take ownership of daily operation of the PR platform
• Work with the Product Owner, Lead Data Scientist and other technical team members to translate product requirements into technical tasks
• Assist Product Owner with Sprint planning and prioritisation
• Coordinate technical team in line with Sprint goals
• Oversee the creation of technical documentation
• Review Pull Requests to ensure technical excellence
• Review Sprint tasks to ensure best-practices (proper descriptions, acceptance criteria, etc.)

Qualifications and Experience:

• Advanced degree in computer science, statistics or related STEM field.
• At least 7 years ML engineering (or engineering support for data science) experience in an industrial / commercial setting.
• Deep knowledge of ML algorithms and DS concepts.
• Deep knowledge of Python software engineering and its ML stack.
• Experience working with large data sets using PySpark and RDBMs.
• Knowledge of application architectures and design patterns.
• Proficient in development, deployment and end-to-end management of ML solutions in a cloud-hosted environment.
• Experience with the design and implementation of MLOps frameworks (CI/CD and continuous monitoring)
• Proficient in DevOps technologies like Docker and Kubernetes.
• Proficient in the use of Azure cloud services and infrastructure.
• Proficient in the use of version control systems (e.g., GIT).
• Experience working in an Agile environment.
• Ability to effectively communicate with business stakeholders to design data products that drive value.
• Professional attitude and service-oriented.
• Fluent in English