Back
Tier‑1 brand and general Data Scientist title increase competition, but seniority and niche cyber‑ML focus reduce density.
Requires deep cybersecurity domain and ML expertise, limiting cross-industry transferability.
Explicit 12–15 years, Master's degree, and specialist cyber‑ML and platform skills make filters highly strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop and deploy statistical, machine learning, graph, NLP, and GenAI models on enterprise cybersecurity data to enhance threat detection, risk prioritization, and incident enrichment.
Analyze and build scalable data pipelines and reusable analytics artifacts (datasets, features, models, dashboards) for cybersecurity operations using Python, SQL, PySpark, Databricks, and Power BI.
Collaborate cross-functionally with security analysts, engineers, architects, and risk teams to translate cybersecurity needs into actionable data science solutions with emphasis on model governance and regulated environment compliance.
Master's degree or advanced coursework in Data Science, Computer Science, Statistics, Applied Mathematics, Cybersecurity, or related field.
12 to 15 years of relevant experience in Data Analytics, Data Science, and Machine Learning with statistical modeling background.
Proficient in Python, SQL, PySpark, Databricks, and developing large-scale data pipelines and distributed processing solutions.
Experience required with cloud-native architectures, APIs, workflow automation, and Power BI for cybersecurity-related analytical reporting.
Senior-level data scientist comfortable balancing exploratory research and production-oriented analytics delivery in regulated cybersecurity contexts.
Strong domain knowledge in enterprise cybersecurity including SIEM/SOAR, vulnerabilities, threat detection, identity and access risk, and security telemetry.
Collaborative operator who builds reusable, well-documented, and scalable analytical solutions in partnership with diverse cybersecurity and risk stakeholders.