Data Scientist

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

About the Role

Our client, a cutting-edge AI research and development company based in Randburg, is seeking a highly analytical and innovative Data Scientist to join their dedicated team. This is a full-time, office-based role where you will leverage your expertise in statistical modeling, machine learning, and data analysis to drive insights and develop predictive models. You will work with large, complex datasets, extracting valuable information to inform strategic business decisions and enhance our AI capabilities. The ideal candidate has a strong academic background, practical experience in applying data science techniques to real-world problems, and proficiency in programming languages commonly used in data science. You will collaborate closely with engineers, product managers, and business stakeholders to identify opportunities for data-driven solutions. This is a challenging and rewarding position for someone passionate about uncovering patterns and building intelligent systems.

Key Responsibilities

• Design and implement statistical models and machine learning algorithms to solve complex business problems.
• Clean, transform, and analyze large, complex datasets to extract actionable insights.
• Develop and deploy predictive models for forecasting, classification, and anomaly detection.
• Communicate complex findings and recommendations clearly to both technical and non-technical audiences.
• Collaborate with engineering teams to integrate data science models into production systems.
• Evaluate and improve the performance of existing models and algorithms.
• Stay up-to-date with the latest advancements in data science, machine learning, and AI.
• Conduct A/B testing and other experiments to validate hypotheses and measure impact.
• Contribute to the development of data strategies and best practices within the organization.

Requirements

• A Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or a related discipline.
• Minimum of 4 years of professional experience as a Data Scientist or in a similar analytical role.
• Proficiency in programming languages like Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
• Strong understanding of machine learning algorithms, statistical modeling, and data mining techniques.
• Experience with SQL and working with relational databases.
• Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain technical concepts clearly.
• Experience working with cloud platforms (AWS, Azure, GCP) is advantageous.

Benefits

• Competitive salary and performance-based incentives.
• Opportunity to work on challenging AI and machine learning projects.
• Access to cutting-edge technology and research resources.
• Comprehensive health and retirement benefits.
• Opportunities for professional development and conference attendance.
• Dynamic and intellectually stimulating work environment.
• Potential for publication in leading AI journals.