Top Data Science Jobs in Israel

As a Senior Product Manager, you will develop data-driven products, lead product strategy, collaborate with cross-functional teams, and optimize revenue and operational forecasts.

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

As Director of AI, lead a team of AI engineers, drive innovation, execute the AI roadmap, and ensure competitive advantage through advanced AI solutions.

The role involves enhancing a backend data platform, automating quality assessments, and improving AI predictions based on customer scenarios in a collaborative environment.

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

Responsible for optimizing data platform technologies, implementing data-driven algorithms, conducting scientific experiments, and deploying machine learning solutions.

As a Senior Data Science Manager, lead a team to leverage data for strategic decisions, optimize performance, and create analytical models to enhance product offerings.

Lead a team of data scientists to leverage data, develop decision-making models, and enhance product offerings to drive revenue and efficiency.

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.

Develop and implement data pipelines, conduct research on data processing systems, and collaborate cross-functionally to enhance customer success insights.

Lead a team developing AI/ML solutions for cybersecurity, overseeing project lifecycle from research to deployment, and driving innovation in machine learning.

Lead the Data Science team for risk management, overseeing projects in AI and machine learning while managing and mentoring team members.

As a Senior Data Scientist, you'll develop machine learning models for cyber threat detection, lead collaborations, and enhance data processing pipelines.

Lead and manage a multidisciplinary research team, set strategic directions, oversee the innovation pipeline, and foster a culture of collaboration and growth.