About the position
Are you a data visionary ready to blend cutting-edge machine learning with the fast-paced world of alcohol distribution? Our client — a leader in the industry — is revolutionizing how data powers product recommendations, customer insights, and operational excellence and seeks a Senior Data Scientist
Join a dynamic, innovation-driven team where data meets flavour — and where your expertise will directly influence consumer experiences across South Africa.
Location: Sandton-Gauteng
What You’ll Do
· Optimize 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 prioritization
· 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.)
RequirementsWhat You’ll Bring:
· Advanced degree in computer science, statistics or related STEM field.
· At least 7 years of 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.
If you’re passionate about data, machine learning, and real-world impact, this is where your expertise will truly shine.
Desired Skills:
- Machine Learning
- Data Science
- Python Engineering
- Mlops
- DevOps
- Azure
- Pyspark
Desired Qualification Level:
- Degree
About The Employer:
