Data jobs

Senior Product Analyst specializing in platform analytics, responsible for analyzing usage data, monitoring feature adoption, and providing data-driven insights to optimize user engagement and platform performance.

Experienced data scientist needed to develop machine learning models and perform advanced analytics on large datasets to support credit card and payment product decisions.

Founding Data Architect responsible for data architecture, ETL, data modeling, and governance at scale. Key areas include security engineering, LLM integration, federated learning, and AWS-based systems. On-site in Tel Aviv.

Join our Raanana team to manage and optimize Oracle production databases, support AWS infrastructure, and contribute to the migration to PostgreSQL. Responsibilities include performance tuning, backup and recovery, and collaboration with development teams.

Join a leading financial organization to develop and maintain ETL processes using Informatica PowerCenter and IICS. You will design data pipelines for DWH and Data Lakes, collaborate with BI and analytics teams, and ensure performance and best practices.

Own the data architecture and pipelines powering AI models, merchant analytics, and product decisions. Design scalable systems processing millions of events, set data quality standards, and enable self-service insights. 5+ years experience with modern data stacks, strong TypeScript, and cloud infrastructure.

Anonymized role: Own first-party data, identity graphs, and audience pipelines for a global sports media and technology company.

Own and build a data platform from ingestion to reporting. Design scalable ETL/ELT pipelines, maintain near real-time data layers, and deliver business dashboards. Work with modern data stack including dbt, Airflow, Snowflake, and BI tools. Apply AI tooling. Hybrid role in Tel Aviv.

Lead design and architecture of cloud-based data solutions, build production-grade data pipelines, ensure data governance and compliance, and integrate with edge computing and AI models for smart infrastructure.

Work on a small, independent team building a unified AV dataset used to train and evaluate next-generation perception models. Focus on the curation and ML side of the data pipeline, including vision-model embeddings, scene detection, VLM-based analysis, scoring, deduplication, and sampling. Run and optimize GPU inference at scale, develop scoring strategies, and build validation tools to ensure dataset quality.