AI Applications Data Scientist: Build & Deploy Models

Placements24; Rustenburg; Hybrid; ZAR 700,000 - 950,000; Full time

Benefits offered by this job

Competitive salary

Advanced analytics tools

Professional development

Collaborative environment

Relocation assistance

Job summary

Placements24 in Rustenburg is seeking a Data Scientist specializing in AI Applications. You will analyze large datasets, build predictive models, and deploy ML solutions that drive business value.

Collaboration with engineering and analytics teams is essential to scale models into production. The ideal candidate holds a Master’s or PhD in a quantitative field and 3+ years of experience, with strong Python/R, SQL, Pandas and cloud exposure.

Qualifications

• Master's or PhD in a related quantitative field.
• 3+ years of experience as a Data Scientist or in a similar analytical role.
• Proficiency in Python or R and data manipulation libraries (Pandas, NumPy).
• Strong knowledge of ML algorithms and statistical modeling techniques.
• Experience with SQL and database technologies.

Responsibilities

• Analyze large, complex datasets to identify trends, patterns, and actionable insights.
• Develop, validate, and deploy machine learning models and algorithms.
• Design and implement experiments to test hypotheses and evaluate model performance.
• Communicate findings and recommendations to technical and non-technical stakeholders.
• Collaborate with engineering teams to integrate AI models into production systems.
• Stay current with advancements in data science, ML, and AI methodologies.

Skills

Python

R

Pandas

NumPy

SQL

Cloud platforms

Big data

Education

Master's or PhD in Data Science, Statistics, Computer Science

Tools

SQL

Cloud platforms

Job description

Placements24 in Rustenburg is seeking a Data Scientist specializing in AI Applications. You will analyze large datasets, build predictive models, and deploy ML solutions that drive business value.

Collaboration with engineering and analytics teams is essential to scale models into production. The ideal candidate holds a Master’s or PhD in a quantitative field and 3+ years of experience, with strong Python/R, SQL, Pandas and cloud exposure.