Quality Performance Engineer Vacancy at YAS

New Vacancy Let’s grow together, become our Quality Performance Engineer

University Degree in Telecommunications or equivalent course. 2 years telecommunication industry experience especially on optimizations, customer management.

Core Responsibilities

• Alignments with TCRA & UCSA F Zonal teams for QOS, issues resolutions and jointly External Interference visits.
• Perform analysis through CSW/ Meta Enterprise Centre and prepare Zonal Performance Reports to Regulatory entities including UCSA F and TCRA.
• Support technology department understand its customers, their needs and expectations by interacting with them through Zonal market visits.
• Handle all customer complaints matters brought in by TCRA & UCSA F and other regulatory bodies.
• Interface to NOC on ensuring all received complaints are worked in by responsible teams, resolutions and feedback are provided timely.
• Support Quality teams in the regions and work closely with customer service team on VOC and NPS Reports follow-up and resolutions.

Competences

• Excellent in oral and written communication skills.
• Demonstrated stable proven Planning skills.
• Independent and with good work attitude with high level of integrity.
• Customer management & communication skills.

“We are committed to equal employment opportunities and unbiased treatment of all individuals in all employment practices”. Only shortlisted applicants will be contacted.

If this description corresponds to you, grow with us by applying before April 28, 2026.

CLICK HERE TO APPLY

Data Scientist - Solutions at Yas | New Vacancy in Tanzania

New vacancy Let’s grow together, become our Data Scientist – Solutions

Bachelor’s degree in computer science, Engineering / IT, Data Science or relevant field is preferred.

Minimum 2 years in Data science, Analytics, or software development / engineering. Strong Programming Skills

Core responsibilities

• Design and develop data-driven solutions (e.g., predictive models, optimization algorithms, recommendation systems, Reporting solutions) to address these challenges.
• Implement automated solutions using appropriate tools and frameworks.
• Prepare and clean data for analysis, ensuring data quality and consistency.
• Build and maintain data pipelines to automate data collection, processing, and storage.
• Deploy and manage machine learning models in production environments.
• Monitor model performance and retrain models as needed.
• Undertake pre-processing of structured and unstructured data.

Competences

• Excellent analytical skills
• Passionate about the possibilities of an increasingly digitally enabled world.
• Passionate about digital products and services.
• Ability to achieve results through others.
• Ability to set and manage priorities.
• Commercial acumen / Strategic.

Application deadline: Apply before April 28, 2026

CLICK HERE TO APPLY