Senior Data Scientist

our company delivers a cloud-based, AI-powered behavioral intelligence platform for physical AI and smart mobility. our company empowers customers with advanced AI-driven cybersecurity solutions, including detection and response (XDR), AI Security, quality and operational intelligence, cyber threat intel, SOC services, and more.we are looking for an experienced Senior Data Scientist to join our rapidly growing data science team, focusing on creating prediction and anomaly detection models. As a Senior Data Scientist, you will lead the analysis of large (often massive) datasets, develop models and algorithms to meet customer needs, and work closely with other data scientists and data engineers to improve our automotive purpose-built data management platform, focusing on cybersecurity, API security, and vehicle quality use cases.This role is full-time and is Herzliya, Israel based.ResponsibilitiesConduct in-depth research on large and diverse automotive live streaming tabular datasetsExplore, design and deploy cutting-edge models or algorithms solutions for prediction purposes and anomaly detectionCollaborate closely with domain experts and peers to research and implement models and algorithm flows that best fit requirementsPartner with the data engineering and development teams to devise innovative solutions for productizationEncourage collaboration and knowledge-sharing within the data science team.Requirements: 5+ years of relevant industry experience in data science or machine learningEducation: MSc in Math / EE / CS / Statistics Demonstrated research expertise in the tech industry or published academic papersProfound understanding and hands-on expertise in mathematics, statistics, machine/deep learning, and data miningExpertise in data science pipelines is essential, including data cleansing, feature engineering, and model tuningStrong coding and software engineering experience focusing on advanced proficiency in Python, especially in data science libraries such as Pandas, Polars, NumPy, SciPy, Scikit-learn, and others End-to-end experience in leading the development of AI/DS/ML products or features, including managing their deployment in production environments, whether through direct integration or by using existing APIsDemonstrated experience in working streaming data (including sequential/time series) and implementing corresponding algorithms/models in a production environment, whether in batch processing or real-time scenariosSolid experience in deep learning, utilizing platforms such as TensorFlow, Keras, PyTorch, etc. Proficiency in SQL Strong communication skills, with the ability to convey ideas and share knowledge effectively Independent and quick learner, capable of developing independently A valuable team player who cooperates well Experience thriving in a dynamic work environment.This position is open to all candidates.