Lead Data Scientist
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Job Location:
Johannesburg - South Africa
Monthly Salary:
Not Disclosed
Experience Required:
10years
Posted on:
14 hours ago
Vacancies:
1 Vacancy
Job Summary
The Senior Data Scientist will lead the design development and deployment of advanced analytics and machine learning solutions that drive strategic decision-making and operational efficiency.
This role requires a deep understanding of data science data engineering and AI concepts and will play a pivotal role in embedding intelligent automation and predictive modelling across the organisation.
Responsibilities
- Build and implement machine learning models using structured and unstructured data to improve forecasting accuracy and enable proactive decision-making.
- Optimise model performance and scalability through hyper parameter tuning and algorithm selection to enhance efficiency and reduce computational costs.
- Implement reproducible research practices by using version control documentation and testing to maintain model integrity and facilitate collaboration.
- Monitor deployed models in production using performance metrics and alerting systems to ensure reliability and timely intervention.
- Automate repetitive data science tasks through scripting and workflow orchestration to increase productivity and reduce manual errors.
- Maintain high data quality standards by conducting regular audits and validation checks to support trustworthy analytics.
Machine Learning
- Expert in designing developing and deploying advanced machine learning and AI models.
- Expert in selecting appropriate algorithms optimising model performance and mentoring junior team members in best practices.
Data Engineering & Architecture
- Understanding of ETL/ELT processes and data pipeline design.
- Ability to collaborate with data engineers to ensure data quality and accessibility.
Requirements
Qualifications
- Matric and a Bachelors degree in Data Science Computer Science Statistics Mathematics or a related field.
- 10 years of experience in data science with at least 23 years in a senior or lead role.
- Proven experience in developing and deploying machine learning models in production environments.
- Strong proficiency in Python R SQL and ML libraries (e.g. scikit-learn TensorFlow PyTorch).
- Solid understanding of data engineering principles and cloud data architectures (e.g. Azure AWS GCP).
- Experience with MLOps tools (e.g. MLflow Kubeflow Airflow).
- Excellent communication and stakeholder engagement skills.
Advantageous
- Masters degree in Data Science Computer Science Statistics Mathematics or related field.
- Experience with large language models (LLMs) and generative AI.
- Experience in healthcare retail or insurance data ecosystem
Required Skills:
Python RSQL ML Libraries MLOps tools
