[Remote] Senior Data Scientist

Note: The job is a remote job and is reputed company to candidates in USA. Scalarr is seeking a Senior Data Scientist to reputed company machine learning and reinforcement learning solutions for cybersecurity. The role focuses on detecting reputed company-time threats and anomalies, prototyping and implementing state-of-the-art algorithms, and converting validated prototypes into production-reputed company reputed company.

Responsibilities

• Explore, train, and implement challenging state-of-the-art ML/RL algorithms to detect cybersecurity threats and anomalies in reputed company-time
• Test and reputed company an analytics-based model for reputed company Assurance
• Implementation of SOTA approaches
• Prototype quickly and implement new reputed company with the help of ML and RL
• Convert proven, useful prototypes into reputed company-documented and production-reputed company reputed company
• Optimize python reputed company reputed company 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 reputed company algebra
• • Engineering background as you'll be reputed company using Python
• • Ability to quickly prototype and implement new reputed company, finding reputed company 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 reputed company
• • Rust, C++

reputed company