IT Data Science Engineer Job Vacancy at Yas, Dar es Salaam October 2026

IT Data Science Engineer – Yas

Key Qualifications & Requirements

• Education: Bachelor’s degree in Data Science, Computer Science, Information Technology, or a related field.
• Experience:
  • Minimum of 3–5 years of 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

Equal 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.”