Overview
Data Scientist and Analyst role supporting enterprise cybersecurity data science and analytics. You will build and operationalize models and analytics to generate actionable security insights and improve risk and security operations decision-making.
What you'll do
- Develop statistical, machine-learning, and AI-driven models to identify patterns, anomalies, relationships, and risk signals in security datasets.
- Analyze structured, semi-structured, graph, time-series, and text-based cybersecurity datasets using Python, SQL, PySpark, and Databricks.
- Design analytics for threat detection, vulnerability prioritization, incident enrichment, cyber risk scoring, and security posture measurement.
- Apply graph analytics and network science to uncover relationships among identities, assets, vulnerabilities, applications, alerts, events, and threat indicators.
- Use NLP and GenAI techniques to summarize, classify, enrich, and operationalize cybersecurity data (alerts, tickets, logs, findings, playbooks, investigation notes).
- Build reusable datasets, features, notebooks, models, dashboards, and model-monitoring outputs; create Power BI reports and self-service dashboards.
- Support responsible model development with validation, performance monitoring, explainability, privacy, security, lineage, and documentation in a regulated environment.
What you'll need
- 12 to 15 years of relevant experience in Data Analytics, Data Science and Machine Learning with statistical modelling background.
- Master's degree or advanced coursework in Data Science, Computer Science, Statistics, Applied Mathematics, Cybersecurity, or a related field.
- Strong experience developing large-scale data pipelines and distributed data-processing solutions.
- Strong experience with Python, SQL, APIs, workflow automation, and cloud-native architectures.
- Practical understanding of cybersecurity concepts including threat detection, vulnerabilities, identity and access risk, cyber incidents, and SIEM/SOAR workflows.
- Data science/ML capability across statistical modeling, supervised/unsupervised learning, feature engineering, and model evaluation.
- Visualization and BI experience building Power BI dashboards.
Details
- Location: Bangalore, India.
- Mode of work: Hydrid.
Read the full description and apply on the company’s own careers page.
