Hybrid Senior Data Scientist: ML, Insights & Impact

Placements24; Bloemfontein; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Hybrid work model

Medical aid and retirement fund

Conference opportunities

Powerful computing resources

Job summary

Placements24 in Bloemfontein is seeking an experienced Senior Data Scientist to join its advanced analytics team. You will work with large-scale data, build predictive models, and drive data-informed decisions across the organization, with a hybrid in-office and remote schedule.

The role requires a strong quantitative background and fluency in Python or R, SQL, and modern ML libraries. You will design end-to-end data science solutions and communicate findings to stakeholders.

Qualifications

• Master's or PhD in statistics, CS, mathematics, or related quantitative field.
• 5+ years in data science or similar analytical role.
• Proficiency in Python or R and ML libraries; SQL with large datasets.

Responsibilities

• Design, develop, and deploy ML models to solve business problems.
• Perform complex data analysis to identify trends and insights.
• Develop and maintain data pipelines for data collection, cleaning, and transformation.
• Collaborate with engineering and product teams to productionize DS solutions.
• Clearly communicate findings to technical and non-technical audiences.
• Stay updated on advances in data science, ML, AI.

Skills

Python

R

SQL

Big data

Statistical modeling

Machine learning

Communication

Education

Master's or Ph.D. in Statistics/CS/Math

Tools

scikit-learn

TensorFlow

PyTorch

Big data technologies

Job description

Placements24 in Bloemfontein is seeking an experienced Senior Data Scientist to join its advanced analytics team. You will work with large-scale data, build predictive models, and drive data-informed decisions across the organization, with a hybrid in-office and remote schedule.

The role requires a strong quantitative background and fluency in Python or R, SQL, and modern ML libraries. You will design end-to-end data science solutions and communicate findings to stakeholders.