AI Data Scientist — Remote, Flexible Hours & Growth

Placements24; Gauteng; Hybrid; ZAR 700,000 - 1,100,000; Full time

Benefits offered by this job

Performance incentives

Health, dental, and vision insurance

Flexible work hours

Remote work options

Continued learning and development

Job summary

Placements24 in Gauteng seeks a data scientist focused on AI to uncover insights from large datasets and develop predictive models that drive product innovation and strategic decisions. You will work closely with engineering and product teams to integrate AI-driven solutions into core offerings and improve user experience.

The role requires a strong background in statistics and ML, with hands-on coding in Python or R, and experience deploying models to production while conducting rigorous

Qualifications

• Advanced degree in a quantitative field.
• 3+ years in data science with AI/ML focus.
• Proficiency in Python or R and related libraries.
• Strong understanding of statistical modeling and ML algorithms.
• Experience with data visualization to present findings.

Responsibilities

• Analyze large datasets to identify trends and insights for AI applications.
• Develop, train, and evaluate predictive models.
• Collaborate with engineering to deploy models into production and monitor performance.
• Design and conduct A/B tests to validate hypotheses.

Skills

Python

R

Pandas

Scikit-learn

TensorFlow

Data Visualization

Statistical Modeling

ML Algorithms

Education

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

Tools

Python

R

Pandas

Scikit-learn

TensorFlow

Job description

Placements24 in Gauteng seeks a data scientist focused on AI to uncover insights from large datasets and develop predictive models that drive product innovation and strategic decisions. You will work closely with engineering and product teams to integrate AI-driven solutions into core offerings and improve user experience.

The role requires a strong background in statistics and ML, with hands-on coding in Python or R, and experience deploying models to production while conducting rigorous