Senior Team Lead Data Scientist

- To facilitate data-driven decision-making and improve company operations, the Data Scientist will develop and execute cutting-edge AI and BI solutions.

- Drive data science projects, using sophisticated analytics and machine learning models to address difficult business challenges and generate actionable insights.

- They will collaborate with other departments to design data strategies, build models, and embed those models into software-driven business processes.

Location:

Durban

Job Type: Permanent

Date: 12 Mar 2025

• 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.

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

• 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.

• 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.

• 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.

• Ensure data privacy and compliance with relevant regulations and best practices.
• Develop and enforce data security protocols.

• Bachelor's or Master's degree in computer science, data science, or a related field.
• Proven experience in data science roles, including hands-on experience with machine learning and statistical analysis.
• Proficiency in data analysis and modeling 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.

• Strong problem-solving and critical-thinking skills.
• Ability to work in a fast-paced, dynamic environment.
• Strong project management and organizational skills.
• Excellent interpersonal and teamwork skills.