Data Scientist

Recruitech; Durban North; On-site; ZAR 400 000 - 500 000; Full time

Job summary

A leading software consulting firm in Durban North is seeking a skilled Data Scientist to join their dynamic team. This role will involve the development and deployment of machine learning models, data analysis, and collaboration with various stakeholders to drive data-driven strategies. The ideal candidate should have a degree in Computer Science or Data Science, proven experience in data science roles, and proficiency in tools like Python and R. Join to enhance your career in an innovative environment.

Qualifications

• Degree in Computer Science, Data Science, or related field.
• Proven experience in data science roles with hands-on experience.
• Proficiency in data analysis and machine learning tools, e.g., Python, R.
• Strong programming skills and data manipulation knowledge.
• Expertise in data preprocessing and model evaluation.
• Excellent problem-solving and critical-thinking skills.
• Strong communication and interpersonal skills.
• Relevant certifications e.g. Certified Data Scientist are a plus.

Responsibilities

• Develop and deploy machine learning models and algorithms.
• Collaborate with stakeholders to define data‑driven objectives.
• Engineer features and create data pipelines.
• Evaluate model performance and fine-tune for accuracy.
• Collaborate with analysts and engineers to address business problems.
• Provide leadership and mentorship to junior data scientists.
• Ensure data privacy and compliance with regulations.

Skills

Machine Learning

Data Analysis

Statistical Analysis

Python

R

Data Visualization

Problem Solving

Communication

Education

Degree in Computer Science, Data Science, or related field

Tools

Machine Learning Libraries

Data Analysis Tools

Job description

An exciting opportunity to join a software consulting house with over 3 decades of tech driven solutions using the latest cutting‑edge technology. Reference: DUR.

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 ongoing performance. Implement best practices for model version control and management. Ensure proven models are integrated into business processes and software products.
• 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: Ensure data privacy and compliance with relevant regulations and best practices. Develop and enforce data security protocols.

Qualifications

• 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.

Remuneration

Package & Remuneration