Data Scientist

Job Description

We are seeking a talented Data Scientist to join our Johannesburg team. The ideal candidate will have experience in statistical analysis, machine learning, and data visualization. You will be responsible for transforming data into actionable insights that drive our strategic goals. If you're passionate about harnessing data to solve complex problems and provide actionable recommendations, we want to hear from you.

Responsibilities

• Lead data analysis projects and provide insights to inform strategic decisions.
• Develop and implement machine learning models for predictive analytics.
• Communicate findings effectively to various stakeholders.
• Collaborate with cross-functional teams to enhance product offerings.
• Perform statistical analysis and present findings in written and verbal form.
• Maintain and optimize existing analytical models.
• Research new data science techniques and tools.
• Contribute to the development of company-wide data strategies.
• Ensure data governance and quality assurance.
• Assist in the deployment of data analytics platforms.

Requirements

Education

• Bachelor's degree in relevant field (e.g., Data Science, Computer Science)
• Master's degree in Data Science or similar field is preferred

Experience

• 4+ years of professional experience in data analysis, statistics, or a related field

Technical Skills

• Hadoop
• Spark
• Machine Learning

Soft Skills

• Creativity
• Leadership

Certifications

• Microsoft Certified Data Analyst Associate

Languages

• English: Fluent

Advantageous

• Proficiency in Advanced Data Modeling: Experience in creating complex data models and data architecture.
• Knowledge of Data Privacy Regulations: Familiarity with GDPR and other data privacy regulations.

Benefits

• Health and wellness benefits
• Pension fund contributions
• Work-from-home options available
• Monthly team-building activities

Company Culture

• Diversity: We value diverse perspectives and backgrounds, fostering an inclusive work environment.
• Continuous Improvement: We are committed to learning and improvement through feedback and reflection.