Senior Data Scientist - AI & ML for Impactful Solutions

Placements24; Randburg; On-site; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Competitive salary

Performance incentives

Professional development

Research resources

Job summary

Placements24 in Randburg seeks a highly analytical Data Scientist to join its dedicated team for full-time work in-office. You will leverage statistical modeling, ML, and data analysis to derive insights, build predictive models, and inform strategic decisions.

The candidate will design models, clean large datasets, deploy predictive systems, and collaborate with engineers, product managers, and business stakeholders. A strong academic background and practical problem-solving are essential.

Qualifications

• Master's or PhD in a quantitative field (CS, Stats, Math, Physics)
• Minimum 4 years of professional Data Scientist experience
• Proficiency in Python or R and libraries like scikit-learn, TensorFlow, PyTorch, Pandas, NumPy
• Strong ML, statistical modeling, and data mining knowledge
• Experience with SQL and relational databases; big data exposure is a plus

Responsibilities

• Design and implement statistical models and ML algorithms
• Clean, transform and analyze large datasets
• Develop and deploy predictive models for forecasting, classification, anomalies
• Communicate findings clearly to technical and non-technical audiences
• Collaborate with engineers to productionize models
• Evaluate and improve model performance
• Stay updated with ML/AI advances
• Conduct experiments (A/B tests) to validate hypotheses
• Contribute to data strategies and best practices

Skills

Analytical thinking

Problem solving

Communication

Education

Master's or PhD in a quantitative field

Tools

Python

R

scikit-learn

TensorFlow

PyTorch

Pandas

NumPy

SQL

Job description

Placements24 in Randburg seeks a highly analytical Data Scientist to join its dedicated team for full-time work in-office. You will leverage statistical modeling, ML, and data analysis to derive insights, build predictive models, and inform strategic decisions.

The candidate will design models, clean large datasets, deploy predictive systems, and collaborate with engineers, product managers, and business stakeholders. A strong academic background and practical problem-solving are essential.