IT Data Science Engineer

Yas Tanzania (AXIAN Group) is looking to hire an IT Data Science Engineer in Dar es Salaam to build BI dashboards, SSRS/SSAS reports, and statistical and machine-learning models that support business decisions.

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.
• 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).

Requirements

• Bachelor's degree in Data Science, Computer Science, Information Technology, or a related field.
• Experience with SSRS, SSAS, and Power BI or Tableau in a production environment.
• Minimum of 3-5 years of hands-on BI and analytics development.
• Relevant certifications are an advantage: Microsoft Power BI Data Analyst, Tableau Desktop Specialist, Google Data Analytics, or AWS Certified Machine Learning.
• Strong knowledge of SQL and data modeling.
• Excellent data analysis and visualization capability, and machine learning fundamentals.
• Ability to communicate insights clearly, with excellent customer service orientation.
• SQL
• Data Modeling
• SSRS
• SSAS
• Power BI
• Tableau
• Machine Learning