> Markdown version of [/jobs/ext/2830674-data-scientist](https://www.wearedevelopers.com/jobs/ext/2830674-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** YAEL GROUP INC. - **Location:** United States (Remote available) - **Contract:** Permanent contract - **Skills:** Data Analysis, Big Data, Bioinformatics, Computational Linguistics, Information Systems, Standard Sql, C4i, Information Technology, Data Analytics - **Published:** September 10, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pj28607fts ## About the Role * 5 years or more of experience in Data roles, including at least 2 years as an actual Data Scientist. * Proven experience in developing statistical models, data analysis, and algorithms for forecasting, classification, and anomaly detection. * Strong experience working with SQL and practical experience working with large databases (Big Data / Large Databases). * Experience in Core Systems projects or previous experience in the public/government sector. * Bachelor's degree in Engineering / Computer Science / Statistics / Operations Research / Mathematics or a Bachelor's degree in Exact Sciences OR a research-based Master's degree or higher in Economics / Bioinformatics / Computational Linguistics / Cognition + courses totaling at least 200 hours in the field of Information Systems or a Doctoral degree (Ph.D) in any field + one additional year of experience beyond the required experience (a total of 6 years of experience in Data) or a graduate of a technological unit in the IDF (MAMRAM, 8200, C4I and equivalent units) / Baraam in the technological field. ## Description * Development of analytical models and data-driven solutions supporting the Ministry's system. * Improvement of work processes, support for data-driven decision-making, and improvement of citizen services. * Development of statistical models and algorithms for forecasting, classification, and anomaly detection, alongside the development of KPIs and support for the implementation of the models in core systems. * Close daily collaboration with project managers, systems analysts, development teams, and professional stakeholders.