Innovative Cybersecurity Data Scientist for Advanced Threat Mitigation
hace 10 horas
About the Role
Eviden, a global leader in data-driven digital transformation, seeks an experienced Cybersecurity Data Scientist to join our R&D Team. As a key contributor, you will design, develop, and implement cutting-edge cybersecurity solutions using artificial intelligence and machine learning technologies.
Job Overview
You will be responsible for driving innovation in cybersecurity through AI and ML, focusing on pentesting automation, vulnerability management, and research on applying these technologies to solve complex challenges. Your expertise in AI, Machine Learning, Deep Learning, and Data Science techniques will enable you to build models and solutions for cybersecurity products and services.
Key Responsibilities
- Design and develop advanced cybersecurity solutions
- Develop pentesting automation tools and methodologies
- Research applications of AI technologies in cybersecurity
- Collaborate with the team to build and implement innovative solutions
Required Skills and Qualifications
- Expertise in AI, Machine Learning, Deep Learning, and Data Science techniques
- Experience with reinforcement learning, including Markov Decision Processes (MDPs) modeling and Q-learning
- Proficiency in programming languages, including Python
- Experience with data transformation and analysis tools
- Familiarity with ML frameworks, such as Keras, Pandas, TensorFlow, or PyTorch
- Experience with version control systems, including Git
- Strong analytical and problem-solving skills
- Excellent communication and collaboration skills
What We Offer
- Competitive salary: €85,000 - €110,000 per year
- Opportunity to work on cutting-edge projects and contribute to the development of new technologies
- Collaborative and dynamic work environment
- Professional growth and development opportunities
About Us
Eviden is part of the Atos Group, a global leader in digital transformation. With over 47,000 employees across 47 countries, we bring deep expertise to all industries, expanding the possibilities of data and technology now and for generations to come.
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