RSA Security
1001 - 5000 employees
🔒 Cybersecurity
☁️ SaaS
🏢 Enterprise
Cybersecurity • SaaS • Enterprise
RSA Security is a leading cybersecurity company that provides identity and access management, multi-factor authentication, and identity governance solutions for cloud, hybrid, and on‑premises environments. Its products (including SecurID and ID Plus) deliver adaptive, risk‑based authentication, passwordless and phishing‑resistant methods, and automated identity lifecycle and governance capabilities for large enterprises and government organizations. RSA’s offerings are delivered as a combination of SaaS and on‑premises software with professional services, training, and support to help organizations implement Zero Trust identity security.
Senior Data Scientist I/II
Job not on LinkedIn
🕒 March 27
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RSA Security
1001 - 5000 employees
🔒 Cybersecurity
☁️ SaaS
🏢 Enterprise
Cybersecurity • SaaS • Enterprise
RSA Security is a leading cybersecurity company that provides identity and access management, multi-factor authentication, and identity governance solutions for cloud, hybrid, and on‑premises environments. Its products (including SecurID and ID Plus) deliver adaptive, risk‑based authentication, passwordless and phishing‑resistant methods, and automated identity lifecycle and governance capabilities for large enterprises and government organizations. RSA’s offerings are delivered as a combination of SaaS and on‑premises software with professional services, training, and support to help organizations implement Zero Trust identity security.
📋 Description
• Develop and implement machine learning models • Perform advanced data analysis • Identify patterns and trends to improve products and services • Create insightful reports and dashboards • Work with stakeholders to identify key metrics • Optimize customer experiences and drive business outcomes • Create automated anomaly detection systems
🎯 Requirements
• Bachelor's degree in Data Science, Computer Science, or a related field. • Master’s degree or Ph.D. in a quantitative field such as Statistics, Computer Science, Mathematics, or Engineering. • 6+ years of experience working in Data Science, preferably within a Software organization. • Experience with financial fraud detection and prevention is a major advantage. • Advanced proficiency in Python for data science and machine learning applications. • Proficiency in SQL for data extraction and analysis. • Strong experience with data visualization tools such as PowerBI and Tableau. • Expertise in data mining, statistical modeling, and machine learning. • Familiarity with cloud-based infrastructure, preferably Azure. • Understanding of Java is a plus.
🏖️ Benefits
• Equal employment opportunity • Work environment free of discrimination and harassment
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