Data Scientist

PT ITSEC Asia Tbk; Jakarta Selatan; On-site; IDR 167,400,000 - 279,000,000; Full time

Job summary

PT ITSEC Asia Tbk is looking for a skilled professional in Jakarta Selatan to design and implement data models and machine learning algorithms for detecting and preventing fraud. The ideal candidate will have over 3 years of experience in data science or fraud analytics, with proficiency in Python, R, and SQL.

The role focuses on analyzing datasets, creating dashboards, and supporting regulatory compliance. Strong critical thinking and effective communication skills are essential to convey technical findings to stakeholders.

Qualifications

• 3+ years of experience in data science, fraud analytics, or cyber threat detection.
• Proficiency in languages for statistical modeling and machine learning.
• Strong understanding of fraud vectors and control frameworks.

Responsibilities

• Design and implement data models and machine learning algorithms.
• Analyze large-scale datasets to identify anomalies and fraud patterns.
• Create dashboards to communicate fraud trends and model performance.

Skills

Data modeling

Machine learning

Python

R

SQL

Statistical analysis

Cybersecurity principles

Communication

Education

Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or related field

Tools

Scikit-learn

TensorFlow

Spark

SIEM platforms (e.g., Splunk, QRadar, ELK)

Job description

Responsibilities

• Design and implement data models and machine learning algorithms to detect and prevent fraudulent behavior across IT systems, transactions, and user activities.
• Analyze large-scale datasets from logs, identify systems, network security, and endpoint telemetry to identify anomalies and fraud patterns.
• Develop and maintain fraud risk scoring mechanisms and automated alerting systems to translate fraud indicators into actionable intelligence and policies.
• Create dashboards and visualizations to communicate fraud trends, incident metrics, and model performance to stakeholders and auditors.
• Support regulatory compliance efforts (e.g., ISO 27001, NIST, GDPR) by providing evidence of control effectiveness and data-driven risk assessments.
• Conduct post-incident reviews using forensic data to improve detection and prevention frameworks.

Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
• 3+ years of experience in data science, fraud analytics, or cyber threat detection, ideally in a regulated or high-risk environment.
• Proficiency in Python, R, or similar languages for statistical modeling and machine learning.
• Experience with tools such as SQL, Spark, Scikit-learn, TensorFlow, or similar tools.
• Familiarity with security data formats (e.g., syslogs, JSON, NetFlow) and SIEM platforms (e.g., Splunk, QRadar, ELK).
• Solid understanding of cybersecurity principles, fraud vectors, and control frameworks (e.g., NIST CSF, ISO 27001, COBIT).
• Strong knowledge of anomaly detection, supervised and unsupervised learning, and time-series analysis.
• Ability to communicate technical findings to non-technical stakeholders effectively.
• Strong critical thinking, problem-solving, and statistical analysis capabilities.
• Understanding of threat modeling, risk tolerance, and mitigation strategies.
• Ability to work cross-functionally with the GRC team, compliance, and engineering teams.
• Able to present complex insights in a clear, concise manner tailored to different audiences.