Senior Team Lead Data Scientist

Perssol; Durban; On-site; ZAR 500,000 - 900,000; Full time

Job summary

A leading technology solutions provider in Durban is seeking a Data Scientist to drive AI and BI projects. The role involves developing machine learning models, conducting data analysis, and collaborating across departments. Ideal candidates hold a degree in computer or data science and have strong experience in data science, including proficiency in Python and R. This position offers the opportunity to work in a dynamic environment focused on innovation and data-driven decision making.

Qualifications

• Proven experience in data science roles, particularly with machine learning.
• Strong programming skills in Python and R with knowledge of data visualization.
• Ability to work collaboratively with stakeholders and communicate insights effectively.

Responsibilities

• Develop and execute AI and BI solutions for data-driven decision-making.
• Conduct data analysis, build models, and collaborate with teams.
• Evaluate model performance, deploy models, and ensure compliance with data privacy.

Skills

Machine learning

Data analysis

Statistical analysis

Python

R

Data manipulation

Communication

Education

Bachelor's or Master's degree in computer science or data science

Job description

- 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

Requirements

1. Data Analysis and Modeling

• 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.

2. 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.
• Engineer features and create data pipelines to prepare and clean data for modeling.
• Work with data engineering teams to ensure data availability and quality.

4. 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.

5. 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.

6. 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.

7. Data Privacy and Compliance

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

Qualifications

• 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.

Additional Requirements

• 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.