IT Data Science Engineer

IT Data Science EngineerVacancy at Yas – October 2026 IT Data Science Engineer – YasYasis hiring anIT Data Science Engineerto join their team.“Let’s grow together, become our IT Data Science Engineer”Key Qualifications & RequirementsEducation:Bachelor’s degree in Data Science, Computer Science, Information Technology, or a related field.Experience:Minimum of3–5 yearsof hands-on BI and analytics development.Experience with SSRS, SSAS, and Power BI or Tableau in a production environment.Certifications (Advantage):Microsoft Power BI Data Analyst, Tableau Desktop Specialist, Google Data Analytics, or AWS Certified Machine Learning.Core ResponsibilitiesTranslate business objectives, service performance questions, and stakeholder requirements into analytical use cases.Define analytical success criteria aligned with service and company requirements.Design, develop, and maintain interactive dashboards, self-service reports, SSRS reports, and SSAS cubes for operational and strategic decision-making across different teams.Design, build, and evaluate statistical, predictive, and machine-learning models.Develop and deploy machine learning models for use cases including customer churn prediction, revenue forecasting, customer segmentation, and anomaly detection.Perform statistical analysis, hypothesis testing, and A/B test framework design to support product, marketing, and operational initiatives.Perform exploratory data analysis to identify trends, risks, anomalies, and improvement opportunities.Extend and maintain existing ML models, retraining and validating them as new data becomes available.Design and maintain dimensional data models following OLAP best practices (star schemas, snowflake schemas, SSAS cubes).Core CompetenciesStrong knowledge of SQL & data modeling.Excellent data analysis & visualization capability.Machine learning fundamentals.Ability to communicate insights clearly.Excellent customer service orientation.Job Summary TableFieldDetailsPosition:IT Data Science EngineerEmployer:YasExperience Level:3–5 YearsEducation:Bachelor’s Degree in related fieldEqual Opportunity Statement:“We are committed to equal employment opportunities and unbiased treatment of all individuals in all employment practices. Only shortlisted applicants will be contacted.” IT Data Science Engineer – Yas Yasis hiring anIT Data Science Engineerto join their team. “Let’s grow together, become our IT Data Science Engineer” Key Qualifications & Requirements Education:Bachelor’s degree in Data Science, Computer Science, Information Technology, or a related field. Experience:Minimum of3–5 yearsof hands-on BI and analytics development.Experience with SSRS, SSAS, and Power BI or Tableau in a production environment. Minimum of3–5 yearsof hands-on BI and analytics development. Experience with SSRS, SSAS, and Power BI or Tableau in a production environment. Certifications (Advantage):Microsoft Power BI Data Analyst, Tableau Desktop Specialist, Google Data Analytics, or AWS Certified Machine Learning. Core Responsibilities Translate business objectives, service performance questions, and stakeholder requirements into analytical use cases. Define analytical success criteria aligned with service and company requirements. Design, develop, and maintain interactive dashboards, self-service reports, SSRS reports, and SSAS cubes for operational and strategic decision-making across different teams. Design, build, and evaluate statistical, predictive, and machine-learning models. Develop and deploy machine learning models for use cases including customer churn prediction, revenue forecasting, customer segmentation, and anomaly detection. Perform statistical analysis, hypothesis testing, and A/B test framework design to support product, marketing, and operational initiatives. Perform exploratory data analysis to identify trends, risks, anomalies, and improvement opportunities. Extend and maintain existing ML models, retraining and validating them as new data becomes available. Design and maintain dimensional data models following OLAP best practices (star schemas, snowflake schemas, SSAS cubes). Core Competencies Strong knowledge of SQL & data modeling. Excellent data analysis & visualization capability. Machine learning fundamentals. Ability to communicate insights clearly. Excellent customer service orientation. Job Summary Table FieldDetailsPosition:IT Data Science EngineerEmployer:YasExperience Level:3–5 YearsEducation:Bachelor’s Degree in related field Bachelor’s Degree in related field “We are committed to equal employment opportunities and unbiased treatment of all individuals in all employment practices. Only shortlisted applicants will be contacted.” How to Apply:To submit your application, please follow the link provided below.TAP / CLICK HERE TOAPPLY How to Apply: To submit your application, please follow the link provided below. TAP / CLICK HERE TOAPPLY