Data Scientist - Machine Learning

Placements24; Durban; On-site; ZAR 850,000 - 1,400,000; Full time

Benefits offered by this job

Competitive salary

Health insurance

Learning opportunities

Research resources

Job summary

Placements24 seeks a talented Data Scientist specializing in Machine Learning to join its analytics team in Durban. You will develop and deploy advanced ML models to extract actionable insights from large, complex datasets and drive business growth.

You will collaborate with business stakeholders to define problems, run experiments, and translate results into recommendations. The role offers access to state-of-the-art computing resources and a research-oriented environment.

Qualifications

• PhD or Master's in Data Science, Statistics, Computer Science, or related quantitative field.
• 5+ years applying machine learning techniques to real-world business problems.
• Strong proficiency in Python or R, including libraries like scikit-learn, TensorFlow, and PyTorch.
• Solid understanding of statistical concepts, experimental design, and data mining techniques.
• Experience with big data technologies (Spark, Hadoop) and SQL is essential.
• Excellent communication and presentation skills, with the ability to explain complex models to non-technical audiences.

Responsibilities

• Develop, train, and deploy machine learning models for predictive analytics, classification, and clustering.
• Perform data exploration, cleaning, and feature engineering on diverse datasets.
• Evaluate model performance, conduct A/B testing, and iterate on models for continuous improvement.
• Translate complex analytical findings into clear, concise recommendations for business stakeholders.
• Collaborate with data engineers and software developers to integrate ML models into production systems.
• Stay abreast of the latest advancements in machine learning and artificial intelligence research.

Skills

Python

R programming

Communication

Statistics

Education

Masters or PhD in a quantitative field

Tools

Spark

Hadoop

SQL

scikit-learn

TensorFlow

PyTorch

Job description

About the Role

Our client is seeking a talented and innovative Data Scientist specializing in Machine Learning to join their advanced analytics team in Durban . You will be responsible for developing and implementing sophisticated machine learning models to extract actionable insights from large, complex datasets. This role requires a deep understanding of statistical modeling, predictive analytics, and algorithm development. You will work closely with business stakeholders to identify opportunities, define problems, and deliver data-driven solutions that enhance product offerings and drive business growth. This is an exceptional opportunity to contribute to cutting-edge AI initiatives in a collaborative and research-oriented environment.

Key Responsibilities

• Develop, train, and deploy machine learning models for predictive analytics, classification, and clustering.
• Perform data exploration, cleaning, and feature engineering on diverse datasets.
• Evaluate model performance, conduct A/B testing, and iterate on models for continuous improvement.
• Translate complex analytical findings into clear, concise recommendations for business stakeholders.
• Collaborate with data engineers and software developers to integrate ML models into production systems.
• Stay abreast of the latest advancements in machine learning and artificial intelligence research.

Requirements

• PhD or Master's degree in Data Science, Statistics, Computer Science, or a related quantitative field.
• 5+ years of experience in applying machine learning techniques to solve real-world business problems.
• Strong proficiency in Python or R, including libraries like scikit-learn, TensorFlow, and PyTorch.
• Solid understanding of statistical concepts, experimental design, and data mining techniques.
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL is essential.
• Excellent communication and presentation skills, with the ability to explain complex models to non-technical audiences.

Benefits

• Competitive salary with comprehensive performance incentives.
• Generous health insurance plan and wellness programs.
• Support for continuous learning, including funding for courses and conferences.
• Access to state-of-the-art computing resources and datasets.
• Be part of a pioneering team shaping the future of data-driven decision-making.