Data Scientist (Machine Learning)

Johannesburg FULL TIME R50,000 - R70,833 / Month
(R600,000 - R850,000 / Year)

Job Description

As a Data Scientist (Machine Learning) in our Johannesburg branch, you will leverage your analytical skills and technical expertise to build predictive models and improve our data pipelines. Your work will directly influence decision-making processes across various departments, and you will play a crucial role in the organization's data strategy.

Responsibilities

  • Engage in end-to-end machine learning projects from data acquisition to model deployment.
  • Utilize data visualization tools to convey findings effectively.
  • Assist in the development of A/B testing and implementation strategies.
  • Ensure compliance with ethical guidelines in data handling.
  • Provide mentorship to junior data scientists and interns.

Requirements

Education
  • Bachelor's degree in Data Science, Mathematics, Statistics, or related field
  • Master's degree preferred
Experience
  • 4+ years of relevant experience in data science or machine learning projects
Technical Skills
  • R Programming
  • Apache Spark & Hadoop
Soft Skills
  • Critical Thinking
  • Adaptability
Certifications
  • Professional Data Engineer Certificate
  • AWS Certified ML Specialty
Languages
  • English: Fluent

Advantageous

  • Knowledge of Data Engineering Principles: Understanding of data pipelines and ETL processes.
  • Experience with Model Deployment: Hands-on experience in deploying models to production environments.

Benefits

  • Health and wellness programs.
  • Generous leave policies including parental and sabbatical leave.
  • Employee events and team-building activities.
  • Retirement savings plan with company matching.

Company Culture

  • Diversity and Inclusion: We celebrate diversity and aim to create an inclusive workplace where everyone feels valued.
  • Agile Practices: We embrace agile methodologies to adapt quickly to change and maintain high standards of performance.
  • Community Engagement: We actively engage with the community and undertake projects that give back to society.
Status: Open