Hybrid AI Data Scientist: Predictive Modeling & Insights

Placements24; Gqeberha; Hybride; ZAR 900 000 - 1 300 000; Plein temps

Avantages offerts par ce poste

Competitive salary

Health benefits

Retirement savings plan

Performance bonus

Paid time off

Training budget

Hybrid work

Résumé du poste

Placements24 is seeking an AI Data Scientist in Port Elizabeth, Eastern Cape, ZA, with a strong focus on predictive modeling. The role covers the full data science lifecycle from data acquisition to deployment, in a hybrid work environment that supports collaboration and flexible scheduling.

You will work with large datasets, apply advanced ML techniques, and communicate results to both technical and business stakeholders. 3+ years of experience and proficiency in Python/R are expected.

Qualifications

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or related quantitative field.
• 3+ years of professional experience as a Data Scientist with emphasis on predictive modeling.
• Proficiency in Python or R with relevant data science libraries.

Responsabilités

• Develop, implement, and validate predictive models using ML techniques.
• Clean, transform, and explore large datasets to identify patterns.
• Design and run A/B tests to evaluate model performance and business impact.
• Collaborate with stakeholders to translate business needs into data science problems.
• Communicate findings clearly to technical and non-technical audiences.
• Build data pipelines for model training and deployment.
• Stay updated on advances in data science and AI.
• Mentor junior data scientists and share knowledge.
• Develop visualizations and reports to present insights.

Connaissances

Python

R

Machine Learning

SQL

Data Visualization

Communication

Formation

Master's or Ph.D. in Data Science/Statistics/CS

Outils

scikit-learn

pandas

NumPy

TensorFlow/PyTorch

Tableau/Power BI

Description du poste

Placements24 is seeking an AI Data Scientist in Port Elizabeth, Eastern Cape, ZA, with a strong focus on predictive modeling. The role covers the full data science lifecycle from data acquisition to deployment, in a hybrid work environment that supports collaboration and flexible scheduling.

You will work with large datasets, apply advanced ML techniques, and communicate results to both technical and business stakeholders. 3+ years of experience and proficiency in Python/R are expected.