Data Scientist Kzn - North Coast

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

Job summary

Join a dynamic software consulting house that has been at the forefront of technology for over 30 years! This role as a Data Scientist offers the chance to work with cutting-edge technology, developing and deploying machine learning models that drive business success. You'll engage in data analysis, collaborate with cross-functional teams, and mentor junior scientists, all while ensuring data privacy and compliance. If you have a passion for data and a knack for problem-solving, this is your opportunity to make a significant impact in a collaborative environment.

Qualifications

• Proven experience in data science, including machine learning and statistical analysis.
• Strong programming, data manipulation, and visualization skills.

Responsibilities

• Develop and deploy machine learning models to extract insights and optimize processes.
• Collaborate with stakeholders to define data-driven objectives and strategies.

Skills

Machine Learning

Data Analysis

Statistical Analysis

Python

R

Data Visualization

Feature Engineering

Problem Solving

Education

Degree in Computer Science

Degree in Data Science

Tools

Python Libraries

R Libraries

Job description

An exciting opportunity to join a software consulting house with over 30 years of delivering tech-driven solutions using cutting-edge technology.

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

Responsibilities:

1. Data Analysis and Modelling: Develop and deploy machine learning and AI models to extract insights, predict outcomes, and optimize processes. Conduct in-depth data analysis, exploration, and 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 strategies aligned with business goals. Identify KPIs and establish data collection and measurement protocols.
3. Feature Engineering: Engineer features and create data pipelines to prepare data for modeling. Work with data engineering teams to ensure data availability and quality.
4. Model Evaluation and Deployment: Evaluate model performance, fine-tune models, and deploy them in production environments. Monitor ongoing performance and ensure models are integrated into business processes, minimizing human intervention.
5. Cross-Functional Collaboration: Work with analysts, data engineers, and domain experts to address business problems. Communicate insights effectively to non-technical stakeholders.
6. Leadership and Mentorship: Provide guidance to junior data scientists, participate in training programs, and foster a collaborative team environment.
7. Data Privacy and Compliance: Ensure adherence to data privacy laws, develop security protocols, and enforce data security measures.

Requirements:

• Degree in Computer Science, Data Science, or a related field.
• Proven experience in data science, including machine learning, deep learning, and statistical analysis.
• Proficiency with tools and libraries such as Python and R.
• Strong programming, data manipulation, and visualization skills.
• Expertise in data preprocessing, feature engineering, and model evaluation.
• Excellent problem-solving and communication skills.
• Relevant certifications are a plus.

Package & Remuneration: R - R - Monthly

Note: The candidate must be willing to travel daily to the office.