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.

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 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 the strategy and evolution of external data products, focusing on customer needs and scalable data solutions through cross-functional collaboration and product lifecycle management.

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 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.

The Director of Actuarial Services will lead financial engineering for Value-Based Care contracts, manage a team of actuaries, and provide strategic advice to executive leadership.

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

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

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

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.

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 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.

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.

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

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.