Senior Data Scientist - Detection

Dream is a 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.

The Dream Job:

We’re looking for a Senior Data Scientist who will join our growing Detection group. You'll be a significant part of the development of our state-of-the-art anomaly detection models to find and protect against nation-sponsored cyber-attacks. In this role, you will work with product, engineering, and cyber teams to train, evaluate, and deploy anomaly detection models on a massive scale.

The Dream-Maker Responsibilities:

• Analyze, transform and clean large, complex data sets from various sources to ensure data quality and integrity for analysis.
• Conduct hands-on research and development of state-of-the-art models and algorithms.
• Extract relevant features from structured and unstructured data sources, design and engineer new features and feature selection methodologies to enhance model performance.
• Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics.
• Lead research projects end-to-end from problem formulation, ideation, and experimental design to prototyping and transition into production.
• Explore new methodologies and develop creative approaches to solve complex challenges.
  
  

• 5+ Years as a Data Scientist with proven production-level impact.
• Master's degree in computer science, mathematics or Engineering with focus on machine learning.
• Proven track record designing and training anomaly-based models for large datasets.
• Strong programming skills in Python and familiarity with modern ML tooling and frameworks.
• Experience conducting applied research and working with transformers, open-source LLMs, or other advanced deep learning architectures.
• Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environment.
• Excellent problem-solving abilities and a strong experimental mindset.
• Effective collaborator with strong communication skills.
• Curiosity and a passion for learning new technologies, methods, and domains.
• Background in the cyber security domain - an advantage.