Job Description

Job Title: Senior Data Scientist
We Go Places! How about you? Immediate Superior: Lead Data Scientist eBusiness Location: Western Cape , Stellenbosch and/or Sandton, Gauteng Function: Data & Technology Sub Function: AMEE Type of Contract: Permanent Reference Number: 137270 Closing Date: 28/05/2025 Key Roles and Responsibilities xc2xb7 Optimise technical design of the Product Recommender (PR) platform, in consultation with the Lead Data Scientist xc2xb7 Take ownership of daily operation of the PR platform xc2xb7 Work with the Product Owner, Lead Data Scientist and other technical team members to translate product requirements into technical tasks xc2xb7 Assist Product Owner with Sprint planning and prioritisation xc2xb7 Coordinate technical team in line with Sprint goals xc2xb7 Oversee the creation of technical documentation xc2xb7 Review Pull Requests to ensure technical excellence xc2xb7 Review Sprint tasks to ensure best-practices (proper descriptions, acceptance criteria, etc.) Qualifications and Experience: xc2xb7 Advanced degree in computer science, statistics or related STEM field. xc2xb7 At least 7 years ML engineering (or engineering support for data science) experience in an industrial / commercial setting. xc2xb7 Deep knowledge of ML algorithms and DS concepts. xc2xb7 Deep knowledge of Python software engineering and its ML stack. xc2xb7 Experience working with large data sets using PySpark and RDBMs. xc2xb7 Knowledge of application architectures and design patterns. xc2xb7 Proficient in development, deployment and end-to-end management of ML solutions in a cloud-hosted environment. xc2xb7 Experience with the design and implementation of MLOps frameworks (CI/CD and continuous monitoring) xc2xb7 Proficient in DevOps technologies like Docker and Kubernetes. xc2xb7 Proficient in the use of Azure cloud services and infrastructure. xc2xb7 Proficient in the use of version control systems (e.g., GIT). xc2xb7 Experience working in an Agile environment. xc2xb7 Ability to effectively communicate with business stakeholders to design data products that drive value. xc2xb7 Professional attitude and service-oriented. xc2xb7 Fluent in English The Company's approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we actively encourage and welcome people with various disabilities to apply. Heineken Beverages (South Africa) (Pty) Ltd) is committed to an organisational culture that recognises, appreciates and values inclusion and diversity. You must be fully eligible to live and work in South Africa to apply.