Note: The job is a remote job and is open to candidates in USA. Scalarr is hiring a Senior Data Scientist to develop and deploy machine learning and reinforcement learning algorithms for real-time detection of cybersecurity threats and anomalies. The role also involves quality-assurance analytics, rapid prototyping, productionizing models, and optimizing Python code.

Responsibilities

• Explore, train, and implement challenging state-of-the-art ML/RL algorithms to detect cybersecurity threats and anomalies in real-time
• Test and provide an analytics-based model for Quality Assurance
• Implementation of SOTA approaches
• Prototype quickly and implement new ideas with the help of ML and RL
• Convert proven, useful prototypes into well-documented and production-ready code
• Optimize python code base for production models

Skills

• At least 5+ years of experience in Machine Learning algorithms research and development
• Proven practical experience in building and training Unsupervised, Semi-Supervised, and Data Clustering models
• Practical experience in developing Tabular Data & Time Series models
• Deep knowledge of statistics and linear algebra
• Engineering background as you'll be actively using Python
• Ability to quickly prototype and implement new ideas, finding simple and accurate problem solutions with the help of ML and RL algorithms
• Practical experience in developing ML algorithms for detecting anomalies and cybersecurity threats
• Practical knowledge and understanding of Reinforcement Learning in cybersecurity
• Experience in developing solutions IoT & Edge and network security
• Rust, C++

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