Data Scientist - Predictive Modeling & Insights (Flexible Work)

Placements24; Mtubatuba Local Municipality; Hybrid; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Competitive salary

Incentives

Health benefits

Professional development

Flexible PTO

Job summary

Placements24 is seeking a highly analytical and innovative Data Scientist to join their growing analytics team in Richards Bay. You will extract insights from complex datasets, build predictive models, and drive data-informed decision-making across the organization.

This role offers challenging projects, exposure to advanced statistical techniques, and opportunities to translate data into actionable business strategies.

Qualifications

• Master's or Ph.D. in Statistics, Mathematics, Computer Science, or a related quantitative field.
• Proven experience (3+ years) as a Data Scientist or in a similar analytical role.
• Strong programming in Python or R with data science libraries.
• Experience with machine learning techniques, modeling, and data mining.
• Familiarity with SQL and big data technologies (Spark, Hadoop).
• Excellent analytical, problem-solving, and communication skills.

Responsibilities

• Develop and implement statistical models and ML algorithms to analyze large datasets.
• Identify trends, patterns, and insights to solve business problems.
• Build and deploy predictive models for forecasting, segmentation, and risk assessment.
• Collaborate with stakeholders to translate needs into data science solutions.
• Communicate complex findings clearly to technical and non-technical audiences.
• Clean, transform, and prepare data for analysis and modeling.

Skills

Python

R

ML techniques

Data mining

Analytical thinking

Communication

Education

Master's/PhD in Statistics/Math/CS

Tools

Pandas

NumPy

Scikit-learn

SQL

Spark

Hadoop

Job description

Placements24 is seeking a highly analytical and innovative Data Scientist to join their growing analytics team in Richards Bay. You will extract insights from complex datasets, build predictive models, and drive data-informed decision-making across the organization.

This role offers challenging projects, exposure to advanced statistical techniques, and opportunities to translate data into actionable business strategies.