Data Scientist

Johannesburg FULL TIME R50,000 - R75,000 / Month
(R600,000 - R900,000 / Year)

Job Description

We are seeking a Data Scientist to join our analytical team. In this role, you will employ statistical methods and machine learning techniques to interpret complex datasets, uncover insights, and provide actionable recommendations for our clients. Ideal candidates are adept at transforming data into comprehensible visualizations.

Responsibilities

  • Analyze complex datasets to identify trends and patterns for actionable insights.
  • Collaborate with cross-functional teams to understand their data needs and objectives.
  • Develop predictive models and machine learning algorithms to enhance decision-making processes.
  • Communicate findings and recommendations through visualizations and reports to stakeholders.
  • Ensure data integrity by performing rigorous validation and cleaning processes.
  • Continually improve the analytics process and model performance.
  • Stay updated with industry trends and suggest relevant tools and techniques.

Requirements

Education
  • Bachelor's degree in Mathematics, Statistics, or a related field
  • A Master's degree is preferred
Experience
  • 4+ years of experience in data science or analytics roles
Technical Skills
  • Tableau
  • Excel
  • Big Data Technologies
Soft Skills
  • Attention to Detail
  • Adaptability
Certifications
  • Certified Analytics Professional
Languages
  • English: Fluent

Advantageous

  • Experience with Cloud Platforms: Familiarity with AWS or Azure services for data deployment and management.
  • Knowledge of Deep Learning Techniques: Experience in using deep learning frameworks like TensorFlow or PyTorch.

Benefits

  • Comprehensive health insurance coverage
  • Performance bonuses based on individual and company contribution
  • Flexible work hours and potential remote work options
  • Employee training and development programs

Company Culture

  • Innovative Environment: We promote creativity and encourage innovative ideas among our team members.
  • Team Collaboration: Our team works cohesively, valuing each member's contribution to achieve common goals.
  • Continuous Learning: We are dedicated to fostering a culture of learning, providing resources for personal and professional development.
Status: Open