Top Data Science Jobs in Israel

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).

Manage strategic enterprise client relationships across multiple verticals, serving as the primary contact and ensuring satisfaction, commercial performance, product adoption, renewals, and successful delivery. Translate client goals into actionable plans, coordinate cross-functional teams, monitor performance metrics, identify expansion opportunities, and represent customer needs internally. Requires frequent travel to Genoa, Italy, approximately twice monthly.

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.

Leads the global Data Science function, setting strategy and managing teams while driving machine learning, optimization, forecasting, and statistical modeling solutions. Partners with Product, Engineering, Customer Success, and executives to translate business challenges into scalable analytical products, establish experimentation and model evaluation practices, support customer engagements, and shape the company’s AI roadmap.

Lead the production engineering organization responsible for the market model’s data pipelines, ML training and serving, infrastructure, monitoring, reliability, and costs. Set roadmaps and priorities across MLOps, ML engineering, and data engineering; manage functional leads; oversee delivery, KPIs, hiring, technical standards, and cross-functional collaboration. Partner with applied research to productionize models and communicate progress, risks, and technical decisions to executives, product, commercial teams, and engineers.

Leads production engineering for an AI market model, overseeing MLOps, machine learning engineering, data engineering, infrastructure, data pipelines, model training and serving, monitoring, reliability, costs, KPIs, and delivery. Manages functional leads, sets technical roadmaps and standards, partners with applied research and commercial teams, hires senior engineers, and ensures machine learning systems operate reliably in customer-facing production environments.

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

Lead and grow a data science team to deliver production-grade computer vision and efficient small language model solutions for resource-constrained Windows devices. Drive technical roadmap, mentor staff, collaborate with product, systems, software, and silicon teams, and ensure models meet performance, latency, footprint, and reliability requirements from research through production.

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 multiple international data science teams and applied AI research tracks while remaining hands-on with GenAI and LLM systems. Set technical vision, roadmaps, hiring plans, and stakeholder KPIs; develop customized language models, embeddings, agentic workflows, recommender systems, forecasting models, and entity-resolution pipelines. Drive research through production deployment, partner with engineering, product, and business teams, and communicate results through publications, reports, talks, and internal or external presentations.

Develop data pipelines and apply statistical analysis, machine learning, and deep learning to semiconductor system and analog design data. Build predictive models for circuit performance, reliability, and yield; design experiments; integrate solutions with design, verification, and test teams; and communicate findings through visualizations and reports. The role requires understanding semiconductor design flows, analog circuits, and system architectures.

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.

Lead a founding product effort to take validated concepts through market validation and initial scale. Conduct UXR and market validation, define product-market fit, execute launches and GTM, drive growth and engagement, partner with engineering, design, data science, clinical and commercial teams, and establish metrics to guide go/no-go decisions.

Lead and grow a multidisciplinary Data Science engineering team building real-time content moderation, GenAI safety and red-teaming systems, and Databricks-based data and MLOps platforms. Set technical direction, own delivery and quality, mentor and hire engineers, review designs, and drive reliability, observability, CI/CD, cost, latency, and production ML excellence across Python, Rust, Spark, AWS, Kubernetes, and model-serving infrastructure.

Lead end-to-end research to produce production-ready predictive signals for underwriting, risk, environmental/catastrophe, and behavioral models. Design methods from first principles, evaluate and validate models, investigate production model behavior, and deploy monitored, reproducible solutions with clear documentation.