Data Scientist

Job Description

We are seeking a skilled Data Scientist to join our innovative team in Pretoria. In this role, you will work with large datasets to uncover insights, build predictive models, and assist in data-driven decision-making. The ideal candidate will have a strong background in statistics and programming, coupled with a passion for data analytics.

Responsibilities

• Extract and transform data from diverse sources for analysis.
• Utilize statistical methods to identify patterns and correlations.
• Create intuitive dashboards and reports to track KPIs.
• Engage with business units to define analytical needs.
• Implement and support data management best practices.
• Conduct experiments to test hypotheses and validate data insights.
• Collaborate on analytics projects to enhance operational efficiency.
• Refresh existing models and reports based on new data.
• Support data visualization strategies to communicate findings effectively.
• Work closely with IT teams to ensure reliable data infrastructures.

Requirements

Education

• Bachelor's degree in Data Science, Statistics, Mathematics or related field
• Master's degree is advantageous

Experience

• 3+ years of experience in data analysis or data science roles

Technical Skills

• Python
• SQL
• Machine Learning
• Data Visualization Tools

Soft Skills

• Analytical Thinking
• Communication Skills

Certifications

• Certified Data Scientist
• AWS Certified Data Analytics

Languages

• English: Fluent

Advantageous

• Experience with Big Data technologies: Familiarity with Hadoop, Spark, or similar technologies is a plus.
• Knowledge of Cloud Computing Platforms: Experience with AWS or Azure for data analysis and machine learning tasks.

Benefits

• Competitive salary and performance-based bonuses
• Health insurance and retirement plans
• Flexible work hours and opportunity for remote work
• Professional development opportunities and training

Company Culture

• Innovation: We promote a culture of innovation where new ideas are welcome.
• Collaboration: Fostering teamwork and collaboration within different departments.
• Commitment to Learning: Encouraging continuous learning and growth for all staff members.