Data Scientist - Machine Learning Applications

Placements24; Randburg; On-site; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Competitive salary

Professional development

Cutting-edge tech

Collaborative team

Randburg location

Job summary

Placements24 is seeking a Data Scientist focused on machine learning to join our Randburg team. You will develop and deploy predictive models, work with large datasets, and collaborate with engineering and product teams to translate data into business value.

The ideal candidate has a strong quantitative background, 3+ years in data science, and hands-on experience with Python or R, TensorFlow or PyTorch, and cloud platforms.

Qualifications

• Advanced degree in Computer Science, Statistics, Mathematics, or related field.
• 3+ years of data science experience with ML.
• Proficiency in Python or R and ML libraries.
• Experience with big data technologies and cloud platforms.

Responsibilities

• Develop, train, and deploy ML models for various applications.
• Perform exploratory data analysis and feature engineering.
• Collaborate with stakeholders to define project requirements and deliver insights.
• Build and maintain data pipelines for model training and inference.
• Stay updated on ML and AI advancements.

Skills

Machine Learning

Data Analysis

Statistical Modeling

Python

Education

Master's or PhD in a quantitative field

Tools

TensorFlow

PyTorch

Scikit-learn

AWS

Azure

GCP

Job description

About the Role

Our client, a leader in technological innovation, is seeking a talented Data Scientist with a focus on Machine Learning Applications to join their team in Randburg . You will be instrumental in developing and deploying predictive models and intelligent systems that drive business value. This role involves working with large datasets, applying advanced analytical techniques, and collaborating with engineering and product teams to bring data-driven insights to life. The ideal candidate has a strong quantitative background and a passion for solving complex problems using cutting-edge ML technologies.

Key Responsibilities

• Develop, train, and deploy machine learning models for various applications (e.g., prediction, classification, anomaly detection).
• Perform exploratory data analysis, feature engineering, and model evaluation.
• Collaborate with stakeholders to define project requirements and deliver actionable insights.
• Build and maintain data pipelines for model training and inference.
• Stay abreast of the latest advancements in machine learning and artificial intelligence.

Requirements

• Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 3+ years of experience in data science, with a strong emphasis on machine learning.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP).
• Strong understanding of statistical modeling, algorithms, and data mining techniques.

Benefits

• Highly competitive salary and comprehensive benefits package.
• Opportunities to work on challenging and impactful projects in Randburg .
• Access to cutting-edge technology and tools.
• A culture of continuous learning and professional development.
• Collaborative team environment with opportunities for knowledge sharing.