Data Scientist - - Durban

Responsibilities:

Data Analysis and Modelling:

Develop and deploy machine learning and artificial intelligence models and algorithms to extract insights, predict outcomes, and optimize processes
Conduct in-depth data analysis, data exploration, and data preprocessing to extract valuable information from large datasets
Apply statistical techniques and hypothesis testing to validate findings

Data Strategy and Planning:

Collaborate with stakeholders to define data-driven objectives and formulate data strategies aligned with business goals
Identify key performance indicators (KPIs) and establish data collection and measurement protocols

Feature Engineering:

Engineer features and create data pipelines to prepare and clean data for modelling
Work with data engineering teams to ensure data availability and quality

Model Evaluation and Deployment:

Evaluate model performance and fine-tune models for improved accuracy
Deploy models in production environments and monitor their ongoing performance
Implement best practices for model version control and management
Ensure proven models are integrated into business processes and software products removing the requirement for human intervention to implement the model within their respective businesses

Cross-Functional Collaboration:

Collaborate with business analysts, data engineers, and domain experts to understand and address specific business problems
Communicate findings and insights to non-technical stakeholders in a clear and actionable manner

Leadership and Mentorship:

Provide leadership and mentorship to junior data scientists
Participate in knowledge-sharing and training programs to enhance the data science capabilities of the team
Foster a collaborative and innovative work environment

Data Privacy and Compliance:

Requirements:

Degree in Computer Science, Data Science, or a related field
Proven experience in data science roles, including hands-on experience with machine learning, deep learning, and statistical analysis
Proficiency in data analysis and machine learning tools and libraries e.g. Python, R
Strong programming skills and knowledge of data manipulation and visualization
Expertise in data preprocessing, feature engineering, and model evaluation
Excellent problem-solving and critical-thinking skills
Strong communication and interpersonal skills to effectively collaborate with various stakeholders
Relevant certifications e.g. Certified Data Scientist etc. are a plus

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