Data Scientist - Machine Learning

Placements24; Mtubatuba Local Municipality; Hybrid; ZAR 700,000 - 900,000; Full time

Benefits offered by this job

Competitive salary

Medical and retirement benefits

Hybrid work arrangement

Professional development

Job summary

Placements24 in Richards Bay, South Africa, is seeking a Data Scientist with ML expertise to develop and deploy predictive models, analyze large datasets, and guide data-driven decisions. The role emphasizes collaboration with stakeholders to translate data into actionable strategies.

The position offers a collaborative, hybrid work environment with opportunities for professional development and exposure to cutting-edge ML techniques.”

Qualifications

• Master's or PhD in a quantitative field (CS, stats, or math).
• 3+ years of hands-on data science and ML experience.
• Proficiency in Python or R and ML libraries.

Responsibilities

• Develop, train, and deploy ML models for prediction, classification, and clustering.
• Analyze large datasets to identify trends and insights.
• Design and run A/B tests to validate model performance and business impact.
• Collaborate with engineering to integrate models into production systems.
• Communicate findings clearly to technical and non-technical audiences.
• Stay updated with the latest data science techniques.

Skills

Python

R

Scikit-learn

TensorFlow

PyTorch

Big data

Education

Master's or PhD in CS/Statistics/Math

Tools

Spark

Hadoop

SQL

Job description

About the Role

Our client is seeking a talented Data Scientist with expertise in Machine Learning to join their growing analytics team in Richards Bay . In this role, you will be responsible for developing and deploying predictive models, deriving insights from complex datasets, and driving data-informed decision-making across the organization. You will work with cutting-edge tools and techniques to solve challenging business problems, collaborating closely with stakeholders to translate data into actionable strategies. This is an exciting opportunity to contribute to impactful projects in a dynamic and resource-rich environment.

Key Responsibilities

• Develop, train, and deploy machine learning models for prediction, classification, and clustering tasks.
• Analyze large, complex datasets to identify trends, patterns, and actionable insights.
• Design and implement A/B tests and other experiments to validate model performance and business impact.
• Collaborate with engineering teams to integrate ML models into production systems.
• Communicate findings and recommendations clearly to both technical and non-technical audiences.
• Stay abreast of the latest advancements in data science and machine learning techniques.

Requirements

• Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 3+ years of hands-on experience in data science and machine learning.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• Strong understanding of statistical modeling, experimental design, and data mining techniques.
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL is a plus.
• Excellent problem-solving abilities and analytical skills.

Benefits

• Competitive salary and performance-based incentives.
• Comprehensive medical and retirement benefits.
• Opportunities for continued learning and professional development in Richards Bay .
• Flexible hybrid work arrangement.
• Collaborative and innovative work environment with access to advanced tools.