Data Scientist

Job Description

We are on the lookout for a Data Scientist to join our talented team in Port Elizabeth. In this role, you will harness the power of data to draw insights and inform strategic decisions. Your expertise will help drive our projects forward, making a real impact across various sectors. The ideal candidate will have a solid foundation in statistical analysis, data mining, and machine learning, coupled with proficiency in programming languages such as Python or R.

Responsibilities

• Define and track key performance indicators (KPIs) for data projects.
• Work with external data sources to enrich internal datasets.
• Apply machine learning techniques to support various business operations.
• Draft and maintain documentation of processes and methodologies used in analysis.
• Ensure compliance with data protection regulations and best practices.

Requirements

Education

• Bachelor's degree in Statistics, Mathematics or Computer Science
• Master's degree in relevant field is a plus

Experience

• 4+ years of experience in analytics or data science

Technical Skills

• Data Visualization
• Statistical Analysis

Soft Skills

• Problem-Solving
• Team Collaboration

Certifications

• Microsoft Certified: Azure Data Scientist Associate
• IBM Data Science Professional Certificate

Languages

• English: Fluent

Advantageous

• Knowledge of unstructured data processing: Experience working with text or image data using Natural Language Processing or image recognition techniques.
• Experience with cloud computing platforms: Familiarity with AWS or Azure for deploying data solutions.

Benefits

• Attractive salary package including annual bonus plans.
• Health and wellness programs.
• Work-life balance with flexibility in scheduling.
• Training and mentorship programs for career advancement.

Company Culture

• Continuous Improvement: We are dedicated to personal and professional growth and provide resources for continuous learning.
• Team Spirit: Team collaboration is at the heart of our success; we celebrate shared successes and learning.
• Diversity Appreciation: We appreciate diverse perspectives and backgrounds, which strengthens our innovative capabilities.