Senior Data Scientist (Gauteng)
2025/01/13 Reference Number SDS_JB1 Description

Artificial Intelligence

Collaborate with stakeholders to identify opportunities for data and analytics driven solutions. Lead the design, implementation, and use of artificial intelligence / machine learning and analytics. Design and incorporate best practices of “MLOps” for managing the lifecycle of models / solutions. E.g. data preparation, model training, feature selection, evaluation, model selection, deployment, monitoring, maintaining, code version control, etc.

 

Data Engineering (incl. Data Management)

Design and help build a modern data platform with a robust data governance framework. Incorporate best practices of managing “big data” (i.e. high volume, high velocity, high variety). Establish and execute processes for data quality, metadata management, and data lifecycle management. Ensure adherence to relevant data privacy and regulatory requirements.

Leadership

Serve as a trusted advisor to the business, providing insights and recommendations based on data. Advocate for data-driven decision-making across Teraco. Drive a culture of innovation and continuous learning and teaching – both within the Data & Analytics team and within the broader Teraco business. Stay on top of emerging trends in data science, AI, and analytics. Mentor and develop team members and stakeholders, promoting professional growth and expertise.

 

Value

Measure and communicate the business impact of data and analytics initiatives to stakeholders. Continuously optimise data and analytics processes for efficiency and effectiveness. Requirements

Skill Requirements

Excellent written and verbal communication skills. Clearly articulates ideas and thoughts. Active listening and the ability to understand complex requirements. Problem-solving mindset with a proactive approach. Capability to work independently and as part of a team. Self-motivated and professional demeanour. Leadership qualities with high tolerance and patience. Commitment to self-development and continuous learning. Attention to detail and accuracy. Good prioritisation and organisation skills. Complies with policies and procedures.

 

Qualifications and Experience

Degree in Mathematics, Data Science, Statistics, Computer Science, or a related field. Post graduate qualifications in data science, statistics, machine learning, data engineering, computer science, or related fields. Minimum of 8 years’ experience in data science, machine learning, AI. Deep experience with the core tools of Python and SQL. Experience with data science open source tools (e.g. MLflow, scikit-learn, Git, Airflow, Postgres, etc.) Valid driver’s license and access to own vehicle. Work Level Skilled Job Type Permanent Salary Market Related EE Position No Location Gauteng