Data Science (25466)

Who are we?Yael Group is one of Israel’s leading technology companies, delivering innovative IT and cloud solutions across a wide range of industries.Job DescriptionDevelop, train, and deploy statistical and predictive models on the Insights platform, including expense forecasting, anomaly detection for payroll, procurement, and finance processes, and the development of intelligent, model-driven controls.Work with the organization's Data Lake across Human Resources, Payroll, Procurement, Finance, and Budget domains by analyzing business processes, defining KPIs and model features, and building data layers to support machine learning models.Analyze business processes to identify trends, patterns, bottlenecks, and anomalies within government operations, transforming findings into actionable business insights.Design, build, and maintain data pipelines for machine learning models in collaboration with Data Engineers, utilizing orchestration and data processing tools while delivering model outputs to BI platforms and business stakeholders.Develop Generative AI (GenAI) and Large Language Model (LLM) capabilities within the platform's secure environment, including text classification, document information extraction, prompt engineering, and evaluation framework design.Collaborate closely with Product Managers, Data Engineers, BI Developers, and business stakeholders to deliver data-driven solutions, support production deployments, and facilitate successful implementation.Take ownership of model quality by defining Data Quality (DQ) metrics and model accuracy KPIs, monitoring model performance in production, and maintaining comprehensive model documentation.Provide technical leadership and mentorship to Data Analysts, conduct solution reviews, and work within an Agile development environment in close collaboration with the Product Manager.Hybrid work model.RequirementsRelevant academic background.3+ years of experience in data-related roles, including at least one year as a Data Scientist.Strong proficiency in SQL and Python for data processing, analytics, and machine learning model development.Proven experience developing predictive models and anomaly detection models and deploying them into production environments.Experience working with SAP data or large-scale enterprise ERP systems.Hands-on experience with data orchestration and data modeling tools such as Apache Kafka, Apache NiFi, Apache Airflow, and dbt, as well as streaming data technologies.Experience developing dashboards and business insights using Business Intelligence (BI) tools.Practical experience with Large Language Models (LLMs), Generative AI (GenAI), and Prompt Engineering for enterprise use cases.Experience with monitoring and observability tools such as Splunk and Grafana, as well as implementing and improving Data Quality (DQ) practices.Experience providing technical leadership to teams of analysts and/or serving as a Product Owner for data products within an Agile environment.Experience working in large-scale government or defense data environments supporting multiple systems and users.Relevant professional training or certifications in Data Engineering, Data Analytics, or related disciplines.Academic degree in Computer Science, Data Science, or a related field.