Senior Data Scientist

Sabenza It & Recruitment; Gauteng; On-site; ZAR 900 000 - 1 200 000; Full time

Job summary

A leading recruitment company in Gauteng is seeking a Senior Data Scientist to optimize machine learning applications in the alcohol distribution sector. You will influence consumer experiences by driving data insights and ensuring operational excellence. Ideal candidates will have an advanced degree, extensive ML experience, and a proficiency in Python and various ML tools. This role offers a chance to work in a dynamic, innovation-driven team.

Qualifications

• At least 7 years of ML engineering experience in an industrial/commercial setting.
• Deep knowledge of ML algorithms and data science concepts.
• Experience with design and implementation of MLOps frameworks.

Responsibilities

• Optimize technical design of the Product Recommender platform.
• Oversee daily operation of the PR platform.
• Coordinate technical team in line with Sprint goals.

Skills

Machine Learning engineering

Python software engineering

Large data sets management

MLOps frameworks

Docker

Kubernetes

Azure cloud services

Agile environment

Education

Advanced degree in computer science, statistics or related STEM field

Tools

PySpark

RDBMs

GIT

Job description

Overview

Job Description 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

Location: Sandton-Gauteng

Responsibilities

• 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.)

Qualifications

• 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.