Were 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 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.
The 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.
Requirements:
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.
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.
This position is open to all candidates.
