Data Scientist jobs in South Africa
Senior Data Scientist
Jobstreet Malaysia
Lead Specialist, Data Scientist
TNG Digital
Senior Data Scientist: End‑to‑End ML & Lakehouse Lead
Jobstreet Malaysia
Senior Data Scientist
Private Advertiser
Discover more opportunities than anywhere else. Find more jobs nowSmart Manufacturing Data Scientist
Micron Semiconductors
Connect with headhunters to apply for similar jobsData Scientist
Mattel Continental Asia S/B
Data Scientist II (Operations Research)
AirAsia
Senior Data Scientist (Supply Planning)
Data Science
Senior Staff Data Scientist [up to 30k]
Randstad
Data Scientist - Quant
Michael Page
SMG Finance Data Scientist
Intel
Senior Data Scientist: Drive Growth with Data Insights
EMIR Research
Senior Data Scientist, Supply Optimization (Driver Network)
Data Science
Senior Data Scientist: Lead ML & Lakehouse Analytics
Private Advertiser
Data Scientist - Supply Chain Analytics & Tableau
Mattel Continental Asia S/B
Data Scientist II - Cross-Functional Optimization & OR
AirAsia
Data Scientist: Build ML Models & Drive Data-Driven Impact
RHB Bank
Senior Data Scientist
Job summary
A leading recruitment platform is seeking a Senior Data Scientist to lead advanced analytics and machine learning initiatives. The ideal candidate will have 3–5 years of experience, strong skills in SQL and PySpark, and hands-on experience with Databricks. Responsibilities include building ETL pipelines, managing data workflows in Azure, and supporting data scientists with feature engineering and model development. This is an opportunity to make a significant business impact in a collaborative environment.
Qualifications
- 3–5 years of experience in data engineering or data science roles.
- Good understanding of machine learning concepts and ML pipelines.
- Ability to work with cloud services (Azure, AWS, GCP).
Responsibilities
- Build, maintain, and optimise ETL/ELT pipelines using SQL, PySpark, and Databricks.
- Manage and orchestrate data workflows within Azure Databricks.
- Support data scientists in feature engineering and model development.
Skills
Tools
We are seeking a Senior Data Scientist to lead advanced analytics and machine learning initiatives while strengthening the cloud-based data platform. This role requires strong hands‑on experience, end‑to‑end ownership, and the ability to translate data insights into business impact.
- Build, maintain, and optimise ETL/ELT pipelines using SQL, PySpark, and Databricks
- Design and enhance Delta Lake / Lakehouse architectures
- Manage and orchestrate data workflows within Azure Databricks
- Support data scientists in feature engineering, model development, and experimentation
- Ensure data quality, governance, security, and performance across data platforms
- 3–5 years of experience in data engineering / data science roles
- Strong proficiency in SQL, PySpark, Python, and cloud‑based data processing
- Hands‑on experience with Databricks (notebooks, MLflow, orchestration)
- Experience with Azure Data Factory, ADLS, or similar cloud services
- Good understanding of machine learning concepts and ML pipelines
- Advanced Modelling & ML Expertise – Experience in building complex models (ML, deep learning, NLP, forecasting) and applying advanced statistical techniques
- Programming & Data Engineering – Strong in Python/R/SQL, Spark, and exposure to Hadoop; experience with Azure / AWS / GCP
- End‑to‑End Ownership – Able to scope, design, build, deploy, and monitor data products independently
- Business Acumen – Strong ability to understand business needs and translate them into data‑driven solutions
- Collaboration & Mentorship – Works closely with cross‑functional teams and mentors junior data scientists
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.