Data Scientist job at MTN-Uganda

Job Description

Job Title: Data Scientist

Reporting to: Manager Data Science

Division – Business Intelligence

Mission/ Core purpose of the Job

To develop and maintain reusable insights and data analytics solutions that can serve the business needs of the organization.

To deliver key data science and advanced analytics solutions to serve the entire company and contribute to the improvement of data platform developments and efficiency overall within Business Intelligence division

To facilitate getting data from a variety of different sources in the right formats, maintaining data quality standards, and assuring that downstream users can get that data quickly

Responsibilities

Main Job Functions:

• Drive business engagement with leaders (include BI teams) to support and implement high-quality, data-driven decisions.
• Create a “Model Factory” for Data Science Models and Algorithms to ensure governance.
• Building automated data pipelines and advanced analytics solutions based on multiple data sources
• Identify useful data and extend advanced analytics use-case development/ deployment like end-to-end machine learning model, advanced analytics, big data visualizations to entire company
• Prepare long-term evolution plans for in-house data science and analytics projects development
• Innovate and advance on existing data infrastructure as business use cases continue to emerge
• Design and implementation of modern Data APIs for internal and external data access
• Development of Advanced analytics and Machine Learning models
• Building Credit Scoring models for Micro-lending internally and third-party consumption
• Divisional people leadership activities: coaching, staff development and motivation through intra staff coaching, employee networks mentorship/support, own division employee engagement projects, faculty roles, inter/intra talent mentorship, etc.

Qualifications

Education:

• First degree in any discipline preferably Software Engineering, Information Systems, Computer Science, Statistics or equivalent
• Master’s Degree in a relevant discipline will be an added advantage.

Experience:

• 3+ years of work experience in Software Development and Data Science related projects in large organization.
• Knowledge in cloud computing technologies
• Worked across diverse cultures and geographies advantageous.
• Detailed working experience of data governance and standards.

Competencies:

Training:

Data Science, Artificial Intelligence, Data Engineering, Machine Learning and Data Analysis

Computer Science, Software Engineering and Applied Mathematics

Systems design and testing

Big Data technologies

Data Warehousing

Analytical Thinking

Business Process Design and Reengineering

Decision Making

Information Management

Prioritization

Problem Solving

Project Planning and Control

Reporting

Software Development and management

Strategic Thinking

System Analysis

System Design and Integration

Telecommunications Technology Fundamentals

Functional Competencies

Behavioral Qualities

Self-motivated

Decisive

Independent but a team player

Customer oriented.

Alert to environment changes and trends.

Good attitude and adaptable.

Must have attention to details

Leadership Competencies

Results orientation

Committed to making a difference

Credibility

Building collaborative relationships

Engaged management

Developing & empowering

Influencing, Leadership, Power

Sound judgment

Strategic planning

Risk-taking, Innovation

Global awareness

Planning and Budgeting

NB: Presentation of false academic documents and certification will lead to criminal prosecution. Any form of canvassing will lead to automatic disqualification. Should you not hear from us within fourteen (14) days from the closing date of this advertisement, you may consider your application to be unsuccessful.

• Drive business engagement with leaders (include BI teams) to support and implement high-quality, data-driven decisions.
• Create a “Model Factory” for Data Science Models and Algorithms to ensure governance.
• Building automated data pipelines and advanced analytics solutions based on multiple data sources
• Identify useful data and extend advanced analytics use-case development/ deployment like end-to-end machine learning model, advanced analytics, big data visualizations to entire company
• Prepare long-term evolution plans for in-house data science and analytics projects development
• Innovate and advance on existing data infrastructure as business use cases continue to emerge
• Design and implementation of modern Data APIs for internal and external data access
• Development of Advanced analytics and Machine Learning models
• Building Credit Scoring models for Micro-lending internally and third-party consumption
• Divisional people leadership activities: coaching, staff development and motivation through intra staff coaching, employee networks mentorship/support, own division employee engagement projects, faculty roles, inter/intra talent mentorship, etc.

• Data Science
• Artificial Intelligence
• Data Engineering
• Machine Learning
• Data Analysis
• Computer Science
• Software Engineering
• Applied Mathematics
• Systems design and testing
• Big Data technologies
• Data Warehousing
• Analytical Thinking
• Business Process Design and Reengineering
• Decision Making
• Information Management
• Prioritization
• Problem Solving
• Project Planning and Control
• Reporting
• Software Development and management
• Strategic Thinking
• System Analysis
• System Design and Integration
• Telecommunications Technology Fundamentals

• First degree in any discipline preferably Software Engineering, Information Systems, Computer Science, Statistics or equivalent
• Master’s Degree in a relevant discipline will be an added advantage.
• 3+ years of work experience in Software Development and Data Science related projects in large organization.
• Knowledge in cloud computing technologies
• Worked across diverse cultures and geographies advantageous.
• Detailed working experience of data governance and standards.