Data Scientist Kzn - North Coast

Recruitech; KwaZulu-Natal; On-site; ZAR 400,000 - 500,000; Full time

Job summary

A leading software consulting house is seeking a Data Scientist with expertise in machine learning. The role involves developing and deploying models, collaborating with stakeholders, and providing leadership to junior team members. This opportunity offers a competitive salary and the chance to work with cutting-edge technology.

Qualifications

• Proven experience in data science roles with hands-on experience in machine learning and deep learning.
• Strong programming skills and knowledge of data manipulation and visualization.
• Relevant certifications are a plus.

Responsibilities

• Develop and deploy machine learning and artificial intelligence models.
• Collaborate with stakeholders to define data-driven objectives.
• Provide leadership and mentorship to junior data scientists.

Skills

Data Analysis

Machine Learning

Statistical Analysis

Problem-Solving

Communication

Education

Degree in Computer Science, Data Science, or related field

Tools

Python

R

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.

Our client is seeking a Data Scientist with a strong background in machine learning.

The ideal candidate must be willing to travel to the office daily.

Responsibilities

1. 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.
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.
3. 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.
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.

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 are a plus

Package & Remuneration

R - R - Monthly

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