Top Data Science Jobs in Israel

Lead AI measurement and technical strategies for growth, managing partnerships and ensuring data integrity and quality in AI initiatives.

Lead the creation and evolution of an AI-powered agentic platform, collaborating across teams to deliver intelligent, proactive features and drive platform adoption.

Responsible for managing AI-driven product strategies, orchestrating work automation, and leading cross-functional teams to enhance customer impact in a SaaS environment.

The Senior Data Product Manager will lead the vision and execution of data products for marketing optimization, focusing on analytics and data science to enhance acquisition efficiency and revenue growth.

Lead optimization of data platforms, design data-driven algorithms, conduct large-scale experiments, and develop machine learning techniques to derive insights from complex datasets.

Define, design, and lead AI/ML products, translating business needs into technical requirements and guiding execution across teams while ensuring scalability and quality.

Lead product development from conception to launch, balancing innovation and existing product scaling while collaborating across teams and conducting data analysis.

The Product Owner leads the execution and improvement of analytics capabilities for the X-Sight platform, focusing on financial crime and compliance. Responsibilities include defining the product roadmap, collaborating with cross-functional teams, and ensuring analytics reliability and scalability.

Seeking a PhD candidate for part-time research focusing on data science algorithms in cybersecurity. Responsibilities include deep research, designing LLM workflows, and bridging academic concepts into practical tools.

As a Senior Data Scientist, you'll develop algorithms, analyze data, implement models, and work on projects involving machine learning and big data.

We seek a Data Science Lead to tackle complex ML/AI problems, manage projects, coach a team, and drive business value through data-driven solutions.

As a Senior Frontend Developer, you'll lead the development of scalable applications, tackle complex challenges, and collaborate with product and UX teams while taking ownership of features.

The Data Science Engineer will develop data collection strategies, create and deploy data analysis scripts, and ensure data quality while leveraging AI for predictive insights.

As an Applied Data Scientist, you'll develop and deploy marketing measurement and optimization products, manage end-to-end statistical models and create real-time data solutions while collaborating with product and engineering teams.

The Applied Data Scientist will build marketing measurement products, develop and deploy statistical models, and create scalable data pipelines while working with various stakeholders to drive marketing science capabilities.