Data Scientist - Machine Learning Specialist

Placements24; Rustenburg; On-site; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Performance incentives

Health & wellness benefits

Professional development

Job summary

Placements24 in Rustenburg is seeking a highly analytical Data Scientist specializing in Machine Learning to join our innovative team. You will develop and deploy advanced ML models to solve business problems and extract actionable insights from large datasets to drive data-driven decisions.

You will work with domain experts and engineers to build predictive models and ML pipelines, stay current with ML advances, and communicate complex results to both technical and non-technical stakeholders.

Qualifications

• Advanced degree in data science or related quantitative field.
• 3+ years of data science experience with a focus on ML.
• Strong programming in Python or R and ML libraries.

Responsibilities

• Develop, train, and evaluate ML models for predictive analytics, classification, and clustering.
• Prepare data by cleaning and transforming large datasets.
• Design and run A/B tests to validate model performance and impact.
• Collaborate with engineering to deploy models to production.
• Communicate findings via visualizations and reports.
• Keep up with ML/AI advances.

Skills

Python

R

SQL

Statistical modeling

Data mining

A/B testing

Visualization

Problem solving

Education

Master's degree in Data Science or related quantitative field

Ph.D. in Data Science or related quantitative field

Tools

TensorFlow

PyTorch

scikit-learn

Spark

Hadoop

Job description

About the Role

Our client is seeking a highly analytical Data Scientist with a specialization in Machine Learning to join their innovative team in Rustenburg. In this role, you will be responsible for developing and deploying advanced machine learning models to solve complex business problems, extract actionable insights from large datasets, and drive data-driven decision-making. You will work at the forefront of data science, collaborating with domain experts and engineers to build predictive models and machine learning pipelines. This position is ideal for a candidate passionate about leveraging data to uncover patterns and predict future trends.

Key Responsibilities

• Develop, train, and evaluate machine learning models for various applications, including predictive analytics, classification, and clustering.
• Process, clean, and transform large, complex datasets to prepare them for modeling.
• Design and implement A/B tests and other experiments to validate model performance and business impact.
• Collaborate with engineering teams to deploy machine learning models into production environments.
• Communicate complex findings and insights to technical and non-technical stakeholders through clear visualizations and reports.
• Stay current with the latest advancements in machine learning, artificial intelligence, and data science techniques.

Requirements

• Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• 3+ years of experience in data science, with a strong focus on machine learning.
• Proficiency in programming languages such as Python or R, and experience with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Solid understanding of statistical modeling, algorithms, and data mining techniques.
• Experience with SQL and big data technologies (e.g., Spark, Hadoop).
• Excellent problem-solving skills and the ability to translate business needs into data science solutions.

Benefits

• Attractive salary package with performance-based incentives.
• Comprehensive health, retirement, and wellness benefits.
• Opportunities for advanced training and professional development in Rustenburg.
• Engaging work environment with a focus on innovation and data-driven solutions.
• Contribution to impactful projects within a leading organization.