Data Scientist - AI & ML Focus

Placements24; Richards Bay; Hybrid; ZAR 480,000 - 720,000; Full time

Benefits offered by this job

Hybrid work model

Competitive salary and incentives

Health and wellness programs

Continuous learning opportunities

Access to advanced computational资源

Job summary

Placements24 in Richards Bay is seeking a talented Data Scientist focused on AI/ML to extract insights from complex datasets and build predictive models. You will drive data-driven decision-making, working on challenging problems and applying advanced analytics to advance AI & Emerging Technologies initiatives.

You will collaborate with engineering and business teams, design experiments, deploy models, and communicate findings with stakeholders.

Qualifications

• Master's or PhD in Data Science, Statistics, CS, or a related quantitative field.
• Proven experience in data mining, statistical analysis, and machine learning.
• Proficiency in Python or R and libraries such as Scikit-learn, TensorFlow, PyTorch.
• Experience with SQL and large databases.
• Familiarity with big data technologies like Spark or Hadoop is a plus.
• Strong problem-solving and creative thinking with data challenges.

Responsibilities

• Develop and implement machine learning models for prediction, classification, and clustering.
• Analyze large, complex datasets to identify trends, patterns, and actionable insights.
• Design and conduct A/B tests and other experiments to evaluate model performance and product changes.
• Collaborate with engineering and business teams to understand requirements and translate them into data science solutions.
• Create compelling data visualizations and reports to communicate findings to both technical and non-technical stakeholders.
• Maintain and improve data pipelines and model deployment processes.

Skills

Data analysis

ML & AI

Problem solving

Communication

Education

Master's or PhD in Data Science or related field

Tools

Python

R

Scikit-learn

TensorFlow

PyTorch

SQL

Spark/Hadoop

Job description

About the Role

Our client is looking for a talented Data Scientist with a strong focus on AI and Machine Learning to join their expanding team in Richards Bay. In this role, you will be at the heart of extracting valuable insights from complex datasets, building predictive models, and driving data-driven decision-making across the organization. You will work on challenging problems, applying advanced analytical techniques and ML algorithms to unlock new opportunities and improve operational efficiency. This position is ideal for a data enthusiast who thrives on problem-solving and wants to contribute to significant technological advancements in the AI & Emerging Technologies sector.

Key Responsibilities

• Develop and implement machine learning models for prediction, classification, and clustering.


• Analyze large, complex datasets to identify trends, patterns, and actionable insights.


• Design and conduct A/B tests and other experiments to evaluate model performance and product changes.


• Collaborate with engineering and business teams to understand requirements and translate them into data science solutions.


• Create compelling data visualizations and reports to communicate findings to both technical and non-technical stakeholders.


• Maintain and improve data pipelines and model deployment processes.

Requirements

• Master's or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.


• Proven experience in data mining, statistical analysis, and machine learning.


• Proficiency in programming languages such as Python or R, and relevant libraries (Scikit-learn, TensorFlow, PyTorch).


• Experience with SQL and working with large databases.


• Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.


• Strong problem-solving skills and the ability to think critically and creatively about data challenges.

Benefits

• Competitive salary and performance incentives.


• Comprehensive health and wellness programs.


• Opportunities for continuous learning and professional development.


• Hybrid work model offering flexibility and work-life balance in Richards Bay.


• Access to advanced computational resources and challenging projects.