Data Scientist - Machine Learning

Placements24; LegKraal Gate; On-site; ZAR 700,000 - 1,000,000; Full time

Benefits offered by this job

Competitive compensation

Health insurance

Retirement plan

Professional development

Data-driven culture

Job summary

Placements24 is seeking a Data Scientist with a strong ML background to join the Mahikeng team. You will work on developing, training, and deploying models for predictive analytics and clustering, handling large datasets and translating business needs into DS solutions.

You will collaborate with domain experts, apply advanced statistical techniques, and communicate findings to both technical and non-technical stakeholders, driving data-driven decisions across projects.

Qualifications

• Advanced degree in data science or a related field.
• Proven experience applying ML algorithms to real-world problems.
• Proficiency in Python or R and ML libraries (scikit-learn, TensorFlow, PyTorch).
• Strong statistical modeling, data mining, and data visualization skills.
• Experience with big data technologies (Spark, Hadoop) is a plus.
• Excellent analytical and communication abilities.

Responsibilities

• Develop, train, and deploy ML models for predictive analytics, classification, and clustering.
• Clean, process, and transform large datasets for modeling.
• Conduct exploratory data analysis to identify insights.
• Collaborate with domain experts to translate business requirements into data science solutions.
• Evaluate model performance and iterate to improve accuracy and effectiveness.
• Communicate findings and recommendations to technical and non-technical stakeholders.

Skills

Python

R

Statistical analysis

Communication

Education

Master’s/PhD in data science/related field

Tools

scikit-learn

TensorFlow

PyTorch

Spark

Hadoop

Job description

About the Role

Our client is seeking an accomplished Data Scientist with a strong background in Machine Learning to join their innovative team in Mahikeng . This role is central to leveraging advanced data analytics and predictive modeling to drive business insights and product development. You will work with large, complex datasets, applying cutting-edge ML techniques to solve challenging problems. This position offers a fantastic opportunity to work on impactful projects, collaborate with diverse teams, and contribute to a data-driven culture within a forward-thinking organization.

Key Responsibilities

• Develop, train, and deploy machine learning models for various applications, such as predictive analytics, classification, and clustering.
• Clean, process, and transform large datasets to prepare them for modeling.
• Conduct exploratory data analysis to identify trends, patterns, and insights.
• Collaborate with domain experts to understand business requirements and translate them into data science solutions.
• Evaluate model performance and iterate on models to improve accuracy and effectiveness.
• Communicate findings and recommendations to both technical and non-technical stakeholders.

Requirements

• Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Proven experience in applying machine learning algorithms and techniques to real-world problems.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong understanding of statistical modeling, data mining, and data visualization.
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent analytical, problem-solving, and communication skills.

Benefits

• Highly competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Generous retirement plan options.
• Opportunities for continuous learning and professional development.
• A stimulating work environment focused on innovation and data-driven decision-making.