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Mid-level data scientist in metro at a strong global brand with broad required skillset, highly competitive.
Specialized CTI and security-data experience required, making cross-industry transfers limited.
Mandatory 5+ years, SQL/Python, AWS and data engineering skills plus sensitive-data experience increases filtering.
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Lead collection, processing, and analysis of large cybersecurity datasets to generate actionable threat intelligence and insights.
Develop, implement, and maintain AI, machine learning, and data engineering solutions, including visualization dashboards and data pipelines, to support Cyber Operations automation and decision-making.
Collaborate with Cyber Threat Intelligence and broader Cyber Security teams to enhance threat detection, automate workflows, and support secure dissemination of cyber security data and analysis.
Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Data Science, or related discipline (or equivalent).
5+ years of experience in data analytics, science, or engineering roles, ideally within cyber security or related domains.
Proficiency in complex SQL queries, applied Data Science/Machine Learning using Python or similar languages, and data visualization tools (e.g., Power BI, MS Fabric, Amazon QuickSight).
Cloud platform experience, preferably AWS (including services such as S3, Lambda, Glue) and certification or formal training in analytics engineering, data modelling, and Applied AI/Generative AI fundamentals.
Demonstrated expertise working with large, sensitive cybersecurity datasets, including experience in security data governance and API automation.
Experience operating within or closely with Cyber Threat Intelligence or Security Operations teams, including knowledge of cyber threat landscape and intelligence lifecycle beneficial.
Strong skills in building reliable data engineering pipelines and automation capable of supporting real-time data analytics and AI-assisted threat detection processes.