Datu zinātnieks / Data Scientist (Information Security Threat Detection team)
Core
Build analytics, detection, and predictive tools to turn raw data into actionable decisions that improve business security and restrict malicious activity.
Role type
Senior Data Scientist (Information Security Threat Detection)
Builds
Production pipelines (batch & streaming), anomaly detection models, security dashboards, and incident investigation reports.
Domain
Cybersecurity / Online Gaming / Big Data
Deliverable
production ML models | dashboards & analysis
Required skills
Python (PySpark), SQL, distributed data systems (Spark), AWS (S3, EMR, Athena, Lambda), Kafka, Git, Docker, CI/CD
Preferred skills
Anomaly detection and clustering in big data, statistical explanation to stakeholders, Tableau/BI tools
Technologies
PySpark, Kafka, AWS, GitLab, Jenkins, JIRA, Confluence
Responsibilities
Discover anomalies in application usage and access patterns using log and financial data; Create prototypes and implement production pipelines; Proactively research malicious activity cases to improve detection capabilities; Analyze and provide data for security incident investigations; Build actionable dashboards and reports to monitor security threats.
Seniority
Senior, hands-on IC (3+ years; 5+ for senior role)
