Data Scientist - Anomaly Detection

Placements24; Mossel Bay; In loco; ZAR 900.000 - 1.200.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health insurance

Retirement contributions

Generous leave

Descrizione del lavoro

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.

Competenze

• 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.

Mansioni

• 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.

Conoscenze

Python

Statistics

Anomaly detection

SQL

Team collaboration

Formazione

Master's or PhD in Statistics Data Science CS

Strumenti

scikit-learn

Pandas

NumPy

TensorFlow/PyTorch

Descrizione del lavoro

About the Role

Our client, a prominent entity within the AI & Emerging Technologies sector, is seeking a skilled Data Scientist specializing in Anomaly Detection. This role, based in **Mossel Bay, Western Cape**, is critical for identifying unusual patterns and outliers in complex datasets, which is vital for fraud detection, system monitoring, and quality control. You will leverage advanced statistical methods and machine learning techniques to build robust detection systems. The position requires your dedicated presence in the office to foster close collaboration with the data engineering and security teams, ensuring the effective implementation and integration of your findings. This is an exciting opportunity to contribute significantly to our client's operational integrity and innovation.

Key Responsibilities

• Develop and implement sophisticated anomaly detection algorithms and models using statistical and machine learning techniques.
• Analyze large, complex datasets to identify subtle patterns, outliers, and deviations from normal behavior.
• Design and execute experiments to validate the effectiveness and efficiency of anomaly detection systems.
• Collaborate closely with data engineers to ensure data quality and accessibility for model development and deployment.
• Work with business stakeholders to understand detection requirements and interpret model results.
• Monitor the performance of deployed anomaly detection systems and implement improvements as needed.
• Present findings and recommendations to technical and non-technical audiences.
• Stay updated with the latest research and techniques in anomaly detection and related fields.

Requirements

• Master's or Ph.D. in Statistics, Data Science, Computer Science, or a related quantitative discipline.
• Proven experience (3+ years) in data science, with a strong focus on anomaly detection, outlier analysis, or fraud detection.
• Proficiency in Python or R, and experience with relevant libraries (e.g., scikit-learn, Pandas, NumPy, SciPy, TensorFlow/PyTorch).
• Solid understanding of statistical modeling, time-series analysis, and machine learning algorithms (e.g., clustering, classification, deep learning).
• Experience working with large datasets and databases (SQL, NoSQL).
• Ability to translate complex data problems into actionable insights.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration capabilities.

Benefits

• Our client offers a competitive salary package and benefits that include comprehensive health insurance, retirement contributions, and generous leave allowances.
• We are committed to fostering a stimulating work environment in **Mossel Bay, Western Cape**, encouraging professional growth through training, workshops, and opportunities to attend industry conferences.
• You will be part of a dedicated team focused on enhancing security and operational efficiency through cutting-edge data science techniques. Join us to make a tangible impact.