Top Data Science Jobs in Israel

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.

Lead the Payment Fraud product roadmap to maximize approvals and minimize fraud by partnering with engineering, data science, analysts, and sales. Drive new market entry through vertical research, merchant engagement, pilot programs, and performance tracking (approval rates, fraud rates, chargeback impact).

Lead the Policy Protect product to detect and prevent ecommerce policy abuse. Collaborate with data science and engineering to build and maintain ML models, ensure analysis scalability and reliability, define KPIs, prioritize the product backlog, and drive sales opportunities by engaging merchants and partners.

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

Own and scale a core growth domain within the Car product: define strategy and roadmap, ship and optimize features, and partner with engineers, data scientists, actuaries, designers, marketers, and analytics to drive acquisition, activation, engagement, monetization, and AI-native experiences for autonomous-car insurance.

Lead product vision, strategy, and roadmap for the Velocity TDIR platform. Drive evolution to an AI-powered MDR/Security Operations platform, partner with security and engineering teams, engage customers, prioritize product investments, and measure adoption, analyst efficiency, and market differentiation.

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

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.

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.

Lead product initiatives for Bitsight's Cyber Threat Intelligence solution. Define roadmaps, gather customer and market insights, work with engineering, data science, and GTM teams, and deliver AI-driven features from ideation through launch, monitoring, and iteration to improve threat detection, workflows, and customer outcomes.

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.

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 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.