Data Scientist

Job Description

We are on the lookout for a skilled Data Scientist to join our dynamic Bloemfontein team. This role offers a unique opportunity to leverage big data in driving business decisions and optimizing operational efficiency. You will be responsible for building predictive models, conducting data analysis, and presenting insights that inform key business strategies. A strong background in statistical analysis and machine learning is essential for this position.

Responsibilities

• Analyze large datasets to derive meaningful insights.
• Develop algorithms and statistical models for predictive analysis.
• Work with cross-functional teams to implement data-driven solutions.
• Present findings and recommendations to key stakeholders.
• Continuously refine data collection and analysis methodologies.
• Mentor junior team members in data science concepts.

Requirements

Education

• Bachelor's degree in Data Science, Statistics, Computer Science, or related field
• Master's degree is an advantage

Experience

• 3+ years of experience in data analysis and modeling

Technical Skills

• Python
• R
• SQL

Soft Skills

• Communication
• Teamwork

Certifications

• Certified Data Scientist
• AWS Certified Data Analytics - Specialty

Languages

• English: Fluent

Advantageous

• Experience with machine learning frameworks (e.g., TensorFlow, scikit-learn): Knowledge of machine learning algorithms and frameworks for model deployment.
• Familiarity with big data technologies (e.g., Hadoop, Spark): Experience working with big data solutions for large-scale data processing.

Benefits

• Competitive salary with performance bonuses
• Medical aid and retirement benefits
• Opportunities for professional development
• Flexible work environment with a focus on work-life balance

Company Culture

• Collaborative Environment: We emphasize teamwork and collaboration to achieve common goals.
• Innovation Driven: We encourage innovative thinking and value creative solutions.
• Diversity and Inclusion: We celebrate diversity and promote an inclusive workplace culture.