Data Scientist

Posted 2 Days Ago
Be an Early Applicant
Hiring Remotely in Uganda
Remote
Mid level
Big Data • Other • Financial Services
The Role
The Data Scientist will develop and maintain data analytics solutions, deliver data science projects, and design data APIs, while ensuring data quality and supporting business decisions.
Summary Generated by Built In

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.

 

Female candidates are strongly encouraged to apply.

Top Skills

Big Data
Cloud Computing
Data Apis
Data Governance
Data Science
Machine Learning
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The Company
42,119 Employees

What We Do

Delivering voice, data, mobile financial services and digital products across 16 markets in Africa. For more info, visit: www.mtn.com

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