Data Scientist

Cape Town Full-time R50,000 - R66,667 / Month
(R600,000 - R800,000 / Year)

Job Description

Join our dynamic team as a Data Scientist in Cape Town, where you will apply your expertise in statistical analysis and machine learning. You will be responsible for managing data pipelines, performing complex analyses, and presenting your findings to improve business processes and outcomes.

Responsibilities

  • Develop and implement data models to forecast business outcomes.
  • Extract, clean, and interpret data from multiple sources to inform business decisions.
  • Assist in designing experiments and conducting A/B tests for product development.
  • Communicate findings to non-technical stakeholders in easily understandable terms.
  • Optimize data pipeline and leverage Big Data technologies where needed.
  • Collaborate on data governance and policy related initiatives.
  • Mentor junior analysts and share knowledge across teams.

Requirements

Education
  • Bachelor's degree in Data Science, Statistics, or related discipline
  • Master's degree in Data Science or Computational Statistics is an advantage
Experience
  • 4+ years of practical data analysis or data science experience
Technical Skills
  • R Programming
  • Deep Learning
  • Hadoop
Soft Skills
  • Critical Thinking
  • Effective Communication
Certifications
  • Certified Analytics Professional
  • Cloudera Certified Data Scientist
Languages
  • English: Fluent

Advantageous

  • Knowledge of statistical modeling techniques: Experience with techniques like regression analysis, clustering, and time-series analysis.
  • Familiarity with data warehousing solutions: Experience with warehousing tools and ETL processes.

Benefits

  • Comprehensive health, dental, and vision coverage
  • Retirement savings plan with company contributions
  • Flexibility to work remotely
  • Access to continuous education programs

Company Culture

  • Growth-Oriented: We provide opportunities for career advancement and professional development.
  • Open Communication: We maintain open channels of communication and actively encourage feedback.
  • Employee Recognition: We appreciate and recognize contributions through various reward programs and incentives.
Status: Open