Senior Data Scientist

Teraco; Gauteng; On-site; ZAR 60,000 - 100,000; Full time

Job summary

An innovative firm is seeking a data and analytics leader to drive AI and machine learning initiatives. This role involves collaborating with stakeholders to identify data-driven opportunities, leading the design of a modern data platform, and establishing best practices for data governance and quality management. The ideal candidate will foster a culture of continuous learning and innovation, mentoring team members while staying abreast of emerging trends in data science. Join this dynamic team and make a significant impact on the organization's data strategy and analytics capabilities.

Qualifications

• Proven experience in AI and machine learning implementation.
• Strong understanding of data governance and data quality practices.

Responsibilities

• Lead design and implementation of AI/ML solutions.
• Collaborate with stakeholders for data-driven insights.
• Establish data quality and lifecycle management processes.

Skills

Artificial Intelligence

Machine Learning

MLOps

Big Data Management

Data Governance

Data Quality Management

Stakeholder Collaboration

Job description

The job description is comprehensive and well-structured, but it can benefit from improved formatting for clarity and emphasis. Here's a refined version:

Responsibilities

• 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 and solutions, including data preparation, model training, feature selection, evaluation, deployment, monitoring, maintenance, and code version control.
• Design and help build a modern data platform with a robust data governance framework.
• Incorporate best practices for managing big data (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.
• Drive a culture of innovation, continuous learning, and teaching within the Data & Analytics team and the broader organization.
• Stay updated on 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 optimize data and analytics processes for efficiency and effectiveness.