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

• Analyze complex data sets to identify trends and patterns.
• Develop predictive models and machine learning algorithms.
• Visualize data findings through reports and dashboards.
• Collaborate with stakeholders to understand data needs.
• Contribute to the design and implementation of analytics solutions.
• Provide recommendations based on data analysis to drive business strategies.
• Perform data cleaning and preparation to enhance data quality.
• Utilize statistical analysis to interpret data and derive insights.
• Assist in the development of data-driven applications.
• Stay updated with the latest trends and technologies in data science.

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

• Experience with Big Data Technologies: Hands-on experience with technologies like Hadoop and Spark.
• Familiarity with Cloud Computing: Knowledge of cloud platforms (AWS, Google Cloud, Azure) for data analytics.

Company Culture

• Innovation: We encourage creativity and innovative thinking to solve complex challenges.
• Collaboration: Our culture emphasizes teamwork, supporting one another to achieve shared goals.
• Accountability: We believe in taking ownership of our work and its outcomes, ensuring transparency in processes.