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 Senior Data Scientist at monday.com, you'll lead ML and AI projects, drive marketing insights, and optimize business decisions using data science.

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.

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 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.

Own the freelancer experience at Fiverr, leading a cross-functional team to improve matching quality, develop roadmaps, and drive product innovation for freelancers.

Lead the engineering and technical strategy for data classification and detection systems, overseeing a multidisciplinary team and ensuring effective execution of production-grade systems.

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

The Data & AI Lead drives strategy and operations of advanced data solutions, leading teams to enhance customer experience and brand growth, while ensuring compliance with data ethics.

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

The role involves designing and implementing robust ML models for automated decision-making in underwriting and risk assessment. Responsibilities include developing tabular models, managing projects end-to-end, and ensuring systems reliability.

The role involves conducting advanced data science research focusing on applying state-of-the-art methodologies in cybersecurity. Responsibilities include leading long-horizon research, designing LLM workflows, and translating academic findings into practical applications.

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.

Lead and grow a team of Data Scientists, managing AI and ML initiatives, while ensuring alignment with business goals and overseeing delivery standards.

As a Senior Data Science Researcher, you will develop ML systems, optimize shift schedules, and lead innovative AI solutions for workforce management at NiCE.

Lead research initiatives across NLP and multimodal domains, focusing on large language models and agentic AI systems while mentoring and collaborating with teams.

The NLP Data Science Researcher will develop advanced NLP, LLM, and Agentic AI systems while collaborating on analytics initiatives and transitioning prototypes to production, focusing on customer engagement 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.