Top Data Science Jobs in Israel

As Senior AI Product Manager, lead vision and strategy for monday vibe, drive innovation in AI app creation, and collaborate across teams to deliver impactful features.

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

As a Data Science Team Lead, you will manage a team of Data Scientists, collaborate with cross-functional teams, develop machine learning models, and oversee their integration into production systems.

As Senior AI Product Manager at monday.com, you will define the product vision for AI-driven platforms, drive innovation, lead cross-functional teams, and ensure successful adoption of AI tools while partnering with various stakeholders.

The Algorithm Developer will create algorithms for energy management, conduct performance analysis, and collaborate with teams to enhance renewable energy solutions.

The Senior Product Manager manages high-impact products, oversees the product lifecycle, collaborates with teams and agencies, and drives product strategy using AI and data insights.

Lead the product strategy for Navina's Data Platform, manage product managers, and enhance data ingestion, processing, and access in healthcare.

Lead the design and evolution of ML models, guide team members, and ensure end-to-end ML delivery in production to improve advertiser performance.

The Senior Product Manager will lead the development of Skai's Commerce solution, manage product strategy, collaborate with multiple teams, and represent customer needs.

The Data Science Manager at Zynga leads a hybrid team of Data Scientists and Machine Learning Engineers, overseeing technical projects and aligning data strategy with business goals while ensuring high engineering standards and methodologies are maintained.

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.

The Data Scientist will design optimization algorithms, collaborate across teams, analyze performance metrics, and utilize exploratory data analysis to enhance business outcomes.

The Senior Applied ML Scientist will lead projects in predictive maintenance and root-cause analysis, translating business problems into ML solutions, and communicating insights to stakeholders.

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.

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 Lead Data Science Researcher, you will lead research in NLP, Vision, and multimodal AI systems, focusing on production-grade capabilities and mentoring peers, while delivering impactful AI solutions for contact centers.

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.

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.

The Lead Data Science Researcher will lead AI research initiatives in NLP and vision, focusing on large language models and agentic AI systems, mentoring peers and collaborating across teams to translate research into production-grade solutions.

Lead a team of Data Scientists and Machine Learning Engineers, guiding technical innovation and business strategy to solve complex problems. Drive advanced analytics and model development while fostering collaboration across teams and ensuring alignment with company goals.

This role requires leading a data science team to develop AI/ML solutions for cybersecurity, managing projects from research to deployment, and ensuring high-quality execution with a focus on innovation.