Data Scientist

Johannesburg FULL TIME R50,000 - R66,667 / Month
(R600,000 - R800,000 / Year)

Job Description

We're seeking an experienced Data Scientist with a strong analytical mindset to join our Johannesburg team. The successful candidate will leverage data to derive insights, support data-driven decision-making, and work with cross-functional teams to enhance project outcomes.

Responsibilities

  • Analyze large datasets to identify trends and patterns.
  • Develop predictive models and data mining algorithms.
  • Collaborate with data engineers to enhance data collection and quality.
  • Communicate findings through visualizations and reports.
  • Work with stakeholders to understand and fulfill analytics needs.
  • Implement machine learning algorithms for improved data processing.
  • Monitor and maintain existing data models.
  • Drive data-driven strategies and initiatives.

Requirements

Education
  • Bachelor's degree in Computer Science, Data Science, or a related field
  • Ph.D. in a related field is highly advantageous
Experience
  • 5+ years of relevant experience in data science
Technical Skills
  • Deep Learning
  • Data Visualization
Soft Skills
  • Team collaboration
  • Time management
Certifications
  • Google Data Analytics Professional Certificate
  • Microsoft Certified: Azure Data Scientist Associate
Languages
  • English: Fluent

Advantageous

  • Experience with big data technologies (e.g., Hadoop, Spark): Strong familiarity with big data frameworks for processing large datasets.
  • Familiarity with data visualization tools (e.g., Tableau, Power BI): Experience using visualization tools to present data insights effectively.

Benefits

  • Competitive salary packages with performance bonuses
  • Health and wellness programs
  • Training and development opportunities
  • Flexible work schedules

Company Culture

  • Innovation: We thrive on innovation and prioritize creative approaches to data solutions.
  • Collaboration: Teamwork is key! We foster an environment where collaboration is encouraged.
  • Continuous Learning: We are committed to ongoing learning and improvement in data science and analytics.
Status: Open