Senior Data Scientist

Sabenza IT & Recruitment; Johannesburg; On-site; ZAR 900 000 - 1 200 000; Full time

Job summary

A leading recruitment agency in South Africa seeks a skilled Senior Data Scientist to optimize a Product Recommender platform. The ideal candidate will have extensive experience in machine learning, Python, and cloud solutions, alongside strong teamwork in an Agile environment. Join a dynamic team to influence consumer experiences across the country.

Qualifications

• At least 7 years of ML engineering experience in an industrial setting.
• Deep knowledge of ML algorithms and data science concepts.
• Experience with large data sets and RDBMs.

Responsibilities

• Optimize technical design of the Product Recommender platform.
• Take ownership of daily operation of the PR platform.
• Coordinate technical team with Sprint goals.

Skills

Machine Learning

Python software engineering

PySpark

MLOps frameworks

DevOps technologies

Agile methodologies

Cloud solutions

Education

Advanced degree in computer science or related STEM field

Tools

Docker

Kubernetes

Azure cloud services

GIT

Job description

Overview

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 / 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.

Employment Type

Full Time

Experience

years

Vacancy

1