Specialist Data Scientist

Cape Town - South Africa

Monthly Salary: Not Disclosed

Experience Required: 5years

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Develop and implement comprehensive data management strategies aligned with organisational goals.
Define and maintain data policies standards and best practices for effective data governance.
Establish frameworks for data quality integrity and compliance across the enterprise.
Identify opportunities to improve data utilisation for analytics AI and business intelligence.
Evaluate and select optimal data storage technologies including relational databases NoSQL databases data lakes and data warehouses.
Design and implement scalable secure and high-performance data storage architectures.
Ensure efficient data access retrieval and integration across platforms and environments.
Optimise data infrastructure for advanced analytics reporting and AI workloads.
Partner with business stakeholders data analysts and IT teams to understand organisational data needs and translate them into actionable solutions.
Ensure alignment of data initiatives with business strategies and priorities.
Communicate complex data concepts architectures and solutions clearly to non-technical audiences.
Foster collaboration between data science engineering and governance teams to ensure seamless data operations.

Requirements

Education: NQF Level 6 or higher tertiary qualification in Information and Communication Technology (ICT) or a related field (including Information Systems).
Cloud certification (e.g. Azure AWS or Google Cloud).
Minimum of 6 years experience in a Data Scientist role with strong focus on data strategy architecture and management.
Expertise in data strategy governance and master data management.
Strong understanding of database technologies (SQL NoSQL cloud-based data platforms).
Experience designing and managing large-scale data storage and integration architectures.
Proficiency in data modelling ETL processes and cloud data services (Azure Synapse AWS Redshift Google BigQuery etc.).

Required Skills:

Architecture Implementation Azure Data lakes Data Warehouse Data Policies Solution Evaluation

Required Education:

NQF Level 6 or higher tertiary qualification

Develop and implement comprehensive data management strategies aligned with organisational goals.Define and maintain data policies standards and best practices for effective data governance.Establish frameworks for data quality integrity and compliance across the enterprise.Identify opportunities to...

Develop and implement comprehensive data management strategies aligned with organisational goals.
Define and maintain data policies standards and best practices for effective data governance.
Establish frameworks for data quality integrity and compliance across the enterprise.
Identify opportunities to improve data utilisation for analytics AI and business intelligence.
Evaluate and select optimal data storage technologies including relational databases NoSQL databases data lakes and data warehouses.
Design and implement scalable secure and high-performance data storage architectures.
Ensure efficient data access retrieval and integration across platforms and environments.
Optimise data infrastructure for advanced analytics reporting and AI workloads.
Partner with business stakeholders data analysts and IT teams to understand organisational data needs and translate them into actionable solutions.
Ensure alignment of data initiatives with business strategies and priorities.
Communicate complex data concepts architectures and solutions clearly to non-technical audiences.
Foster collaboration between data science engineering and governance teams to ensure seamless data operations.

Requirements

Education: NQF Level 6 or higher tertiary qualification in Information and Communication Technology (ICT) or a related field (including Information Systems).
Cloud certification (e.g. Azure AWS or Google Cloud).
Minimum of 6 years experience in a Data Scientist role with strong focus on data strategy architecture and management.
Expertise in data strategy governance and master data management.
Strong understanding of database technologies (SQL NoSQL cloud-based data platforms).
Experience designing and managing large-scale data storage and integration architectures.
Proficiency in data modelling ETL processes and cloud data services (Azure Synapse AWS Redshift Google BigQuery etc.).