Hybrid Senior Data Scientist: Predictive Modeling

Placements24; Mtubatuba Local Municipality; Hybrid; ZAR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Competitive salary

Performance incentives

Health benefits

Professional development

Hybrid work

Job summary

Placements24 is seeking a Senior Data Scientist specializing in predictive modeling in Richards Bay, KwaZulu-Natal. This hybrid role combines in-office collaboration with remote work, enabling deep analytical work and strategic data-driven decisions.

You will lead projects from data exploration to deployment, mentor junior data scientists, and collaborate with engineering to operationalize models. Strong statistical and ML expertise is essential for forecasting and business impact.

Qualifications

• Master's or PhD in Statistics, Computer Science, Mathematics, or related quantitative field.
• 5+ years of experience in data science with emphasis on predictive modeling.
• Proficiency in Python or R and libraries like scikit-learn, pandas, NumPy.
• Deep understanding of statistical modeling and ML algorithms (regression, classification, clustering, time series).

Responsibilities

• Develop, deploy, and maintain sophisticated predictive models.
• Analyze large, complex datasets for trends and insights.
• Perform feature engineering and model selection to optimize performance.
• Validate model accuracy, robustness, and generalizability.
• Communicate findings to technical and non-technical stakeholders.
• Collaborate with engineering to integrate models into production.
• Stay updated with advances in data science and ML.
• Mentor junior data scientists and contribute to team growth.
• Design and run A/B tests to validate hypotheses.

Skills

Python

R

scikit-learn

pandas

NumPy

TensorFlow

PyTorch

Data visualization

communication

Education

Master's or PhD in Statistics/CS/Math

Tools

SQL

Tableau/Matplotlib/Seaborn

Spark/Hadoop

Job description

Placements24 is seeking a Senior Data Scientist specializing in predictive modeling in Richards Bay, KwaZulu-Natal. This hybrid role combines in-office collaboration with remote work, enabling deep analytical work and strategic data-driven decisions.

You will lead projects from data exploration to deployment, mentor junior data scientists, and collaborate with engineering to operationalize models. Strong statistical and ML expertise is essential for forecasting and business impact.