IT Data Science Engineer at Yas Tanzania

IT Data Science Engineer at Yas Tanzania

  •   1 Vacancy
  • 141 Views

Experience

3 Year

Employee type

Full Time

Position

Manager/Supervisor

Offer Salary

Negotiable

For Freelance

No

Application deadline

Oct 29, 2026

Job Description

Find a job as IT Data Science Engineer at Yas Tanzania in Dar es Salaam.

Let's grow together, become our

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.

CORE RESPONSIBILITIES

  • Design, Translate business objectives, service performance questions, and stakeholder requirements into analytical use cases.
  • Define analytical success criteria aligned with service and company requirement.
  • 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).

COMPETENCES

  • Strong knowledge of SQL & data modeling.
  • Excellent Data analysis & visualization capability.
  • Machine learning fundamentals.
  • Ability to communicate insights clearly.
  • Excellent customer service orientation.

We are committed to equal employment opportunities and unbiased treatment of all individuals in all employment practices.

Only shortlisted applicants will be contacted.

Skills
Collaboration Communication Technology Planning and organising Computer Strong work ethic
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