Senior Data Scientist at Sabenza IT & Recruitment

DCV Sabenza IT and Recruitment; Sandton; On-site; ZAR 700 000 - 1 000 000; Full time

Job summary

A data-driven company is seeking a Senior Data Scientist to optimize their Product Recommender platform. You will lead operations and development in machine learning and cloud technologies. The ideal candidate has over 7 years of experience in ML engineering, a strong background in Python, and expertise in cloud environments like Azure. Join a dynamic team revolutionizing data in the alcohol distribution industry.

Qualifications

• At least 7 years of ML engineering experience in an industrial/commercial setting.
• Deep knowledge of ML algorithms and data science concepts.
• Proficient in development and end-to-end management of ML solutions.

Responsibilities

• Optimize technical design of the Product Recommender platform.
• Oversee daily operations of the PR platform.
• Coordinate technical team according to sprint goals.

Skills

Machine Learning

Data Science

Python Engineering

MLOps

DevOps

Azure

PySpark

Education

Advanced degree in computer science, statistics or related STEM field

Degree

Tools

Docker

Kubernetes

Azure cloud services

Version control systems (e.g., GIT)

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

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.).

Requirements

• 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.

Desired Skills

• Machine Learning
• Data Science
• Python Engineering
• Mlops
• DevOps
• Azure
• Pyspark

Desired Qualification Level

• Degree