Mossel Bay Data Scientist - Anomaly Detection & Insights

Placements24; Mossel Bay; On-site; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Health insurance

Retirement contributions

Generous leave

Job summary

Placements24 seeks a Data Scientist specializing in Anomaly Detection for Mossel Bay, Western Cape. You will develop sophisticated models to identify outliers, support fraud detection, and monitor system integrity.

The role requires close collaboration with data engineering and security teams to implement robust detection solutions. Ideal candidates hold a Master’s/PhD in a quantitative field and have 3+ years in data science with Python or R.

Qualifications

• Master's or Ph.D. in Statistics, Data Science, Computer Science, or a related quantitative discipline.
• 3+ years of data science experience with a focus on anomaly detection, outlier analysis, or fraud detection.
• Proficiency in Python or R with libraries like scikit-learn, Pandas, NumPy, SciPy, TensorFlow or PyTorch.

Responsibilities

• Develop and implement anomaly detection algorithms and models using statistical and machine learning techniques.
• Analyze large datasets to identify subtle patterns and deviations from normal behavior.
• Design experiments to validate detection systems and monitor performance post-deployment.
• Collaborate with data engineers to ensure data quality and accessibility for modeling.
• Translate complex data problems into actionable insights for stakeholders.
• Present findings to technical and non-technical audiences.

Skills

Python

Statistics

Anomaly detection

SQL

Team collaboration

Education

Master's or PhD in Statistics Data Science CS

Tools

scikit-learn

Pandas

NumPy

TensorFlow/PyTorch

Job description

Placements24 seeks a Data Scientist specializing in Anomaly Detection for Mossel Bay, Western Cape. You will develop sophisticated models to identify outliers, support fraud detection, and monitor system integrity.

The role requires close collaboration with data engineering and security teams to implement robust detection solutions. Ideal candidates hold a Master’s/PhD in a quantitative field and have 3+ years in data science with Python or R.