Dream is a pioneering AI cybersecurity company delivering revolutionary defense through artificial intelligence. Our proprietary AI platform creates a unified security system safeguarding assets against existing and emerging generative cyber threats. Dream's advanced AI automates discovery, calculates risks, performs real-time threat detection, and plans an automated response. With a core focus on the ""unknowns,"" our AI transforms data into clear threat narratives and actionable defense strategies.

Dream's AI cybersecurity platform represents a paradigm shift in cyber defense, employing a novel, multi-layered approach across all organizational networks in real-time. At the core of our solution is Dream's proprietary Cyber Language Model, a groundbreaking innovation that provides real-time, contextualized intelligence for comprehensive, actionable insights into any cyber-related query or threat scenario.

We are seeking a highly skilled and experienced data scientist to join our data group and play a key role in the development of our product. The ideal candidate will have a strong background in data analytics, machine learning, and cyber security, and will be responsible for analyzing large sets of data generated by critical infrastructure systems to identify potential threats and vulnerabilities.

Responsibilities:

• Conduct hands-on research and development of cutting-edge models
• Take research projects from ideation to deployment and production
• Work closely with domain experts and the engineering department to improve and create new innovative solutions.
• Help define the AI product roadmap.
  
  

Skills:

• 5+ Years as a Data Scientist with a proven production experience
• Experience in conducting applied research
• Collaborative teammate with great communication skills
• Strong programming skills in Python
• Strong problem solving skills
• Curiosity and the passion to learn about new technologies and challenges
• Advantageous: Familiarity with modern software engineering practices and tools
• Advantageous: cyber security background