Data Scientist

Job Description

We are seeking an experienced Data Scientist to join our analytics team in Johannesburg. The ideal candidate will have a strong background in statistical analysis, machine learning, and data visualization. You will be responsible for extracting meaningful insights from large datasets and creating predictive models that drive business performance. Collaboration with cross-functional teams will be key to implementing data-driven solutions.

Responsibilities

• Conduct data analysis to identify trends and patterns in large datasets.
• Implement machine learning algorithms for predictive modeling.
• Create visual reports and dashboards to present findings.
• Collaborate with business teams to align data projects with objectives.
• Optimize models through continuous monitoring and validation.
• Document data science processes and methodologies.

Requirements

Education

• Bachelor's degree in Data Science or related field
• Master's degree in Data Science or statistics preferred

Experience

• 3+ years of experience in a data science capacity

Technical Skills

• R
• Big Data Technologies

Soft Skills

• Communication Skills
• Adaptability

Certifications

• AWS Certified Big Data
• Data Analytics Certification

Languages

• English: Fluent

Advantageous

• Proficiency in deep learning frameworks: Experience with libraries such as TensorFlow or PyTorch for advanced analytical techniques.
• Experience in natural language processing: Knowledge of NLP techniques for text analysis and modelling.

Benefits

• Health insurance cover for employees and dependents
• Remote work options available for team members
• Training and conference attendance support
• An inclusive team culture focused on learning

Company Culture

• Inclusivity: We value diverse perspectives and strive to create an inclusive environment where everyone can thrive.
• Sustainability Focus: We are committed to environmentally sustainable practices within our operations and product development.
• Community Engagement: We foster relationships with the local community through outreach and partnerships.