Data Scientist at MTN

About the job

Job Summary:
The Data Scientist is responsible for extracting meaning from and interpreting large sets of structured and unstructured data in Mobile Money Limited. 
The role applies statistical methods, mathematical algorithms, and tools & technology t“slice and dice” data and provide meaningful results tthe business. 
The role works in an agile environment, in a project-based team structure, coordinating with managers and specialists trespond tbusiness requirements by developing and deploying analytical solutions.

• Division: Mobile Money Limited
• Department: Business Intelligence & Analytics – Mobile Money Limited
• Level: MTN Level 3
• Reports to: Head, Business Intelligence & Analytics (MML)

Job Context:

• Dynamic and highly competitive Fintech Industry
• Multi regulated and multifaceted stakeholder management
• Environmental, social and governance prioritized.
• Partnerships at the core of business practices
• Increasing demand for Fintech/digital experiences decisions tkeep up with customers.
• Performance driven environment
• Global and MTN Group Fintech standards and best practices
• Active media engagement and brand reputation
• Convergence in markets and exploration of non-traditional revenue streams requiring complex interpretation and structuring
• Agile ways of working
• Foundational Skills Proficiency Required:
• Strategic Planning & Thinking
• Analyze the organization's wider environment and draw conclusions about the impact of events and activities; guide the team tcreate solutions that deliver value in line with the business plans.
• Develops and implements organization wide policy by determining target audience, building coalitions with the appropriate population, and developing a budget.
• Critical Thinking
• Generates simple ideas
• Solutions are limited in scope
• Analytical Thinking
• Undertakes a process of information and data collection and analysis for integration purposes.
• Identifies and makes sets of information and determines their relationships.
• Decision Making based on Decision Modelling
• Recognizes when advice or assistance is required in making decisions on non- routine issues and looks tothers tprovide support
• Distinguishes between critical and irrelevant pieces of information. Gathers input and information from a variety of sources treach a conclusion
• Integrated Analytics
• Is familiar with the organization's various sources of business, customer, and market information, both behavioral and technical data
• Understands the range of metrics used tmeasure value and effectiveness and can use analytics treview the business impact of key activities

Job Role:
The Data Scientist will be accountable tachieve the following objectives:

• Liaise with the Head BI & Analytics and Manager Insights & Analytics tunderstand business requirement for specific programmes/projects.
• Analyse business problems with one’s discipline and question assumptions thelp the business identify root cause. Identify and recommend approach tresolve the business problem.
• Translate the identified business problems intdata related or mathematical solutions. Identify what methods (E.g.- analytics, big data analytics, automation) will solve the problem
• Work with multiple data sets tincrease breadth and depth of knowledge and understanding of business issues.
• Build algorithms and design experiments tmerge, manage, interrogate and extract data tsupply tailored reports as required
• Use machine learning tools and statistical techniques tproduce solutions tproblems. For this purpose, write code tdevelop the required solution and application features by determining the appropriate programming language and leveraging business, technical and data requirements
• Create test cases treview and validate the proposed solution design. Create proofs of concept
• Test the code using appropriate testing approach.
• Develop advanced quantitative modules using a variety of programs/software tsupport predictive assessment.
• Produce intelligent, scalable, and automated solutions by leveraging Data Science skills.
• Perform complex analyses, including optimization, text analytics, machine learning, social-science modelling, and statistical analysis, parametric and non-parametric statistical models and techniques.
• Work with Technology teams on the development of new data capabilities & architecture tdefine requirements and priorities.
• Develop, continuously improve, and execute an efficient framework tidentify, organize, structure, and make available data attributes
• Other tasks and duties, as assigned.

Education:

• Minimum of a University Degree in Data Science or a related field of study.
• Professional certification/ Post Graduate Degree in same or related field is a plus.

Experience:

• Minimum of 5 years’ total experience in Data Science / Engineering / Visualization.
• With at least 3 years in a supervisory role.
• Experience in Fintech, banking or Telecom is preferred.
• Experience working in a global/multinational enterprise with a good understanding of emerging markets is preferred.
• Experience in data analysis and management, business performance management and BI within the Fintech industry.
• Experience working across global locations/ regions and have a grasp of political, social, infrastructure and data integrity challenges.

Competencies
Professional/Technical Competencies:

• Knowledge of modern Big Data platforms and Open-Source solutions tdatabase, data analysis, and data management
• Deep knowledge and experience in data reporting/visualization tools (Power BI, Tableau, etc.)
• Deep knowledge and experience in data analytics tools (SQL, Python, SAS, etc.)
• Big data and analytics
• Data mining & modelling
• Data interpretation
• Data visualization & Reporting
• Statistical Analysis
• Quantitative Analytics
• Forecasting/predictive Analytics,
• Multivariate testing & optimization algorithm
• Business intelligence systems and tools
• Data science toolkits (SAS, R, SPSS)
• Skills/Physical competencies
• Ability tmanage own time and workload and juggle conflicting priorities
• Demonstrate evidence of influencing and coaching skills
• Professional approach with a can dattitude
• Courage Skills- Manages self and team performance, good conflict management, takes and manages accountability
• Energy & Drive – Innovative, Takes initiative, result oriented and develops self consistently
• Interpersonal Skills - Leadership, customer centricity, collaborative and coaches & develops direct reports
• Personal Skills - Trustworthy, integrity and ethical in dealings
• Operating Skills - Ability tfocus on priorities and plans, manages and monitors work effectively
• Organisational Positioning Skills - Good written and verbal communication, presentation skills, commitment tthe organization
• Strategic Skills – Global thinker, Analytical thinking, and Problem-solving abilities.
• Influencing Skills

Behavioral Competencies:

• Must live the MTN Values of
  • Can Do; Integrity; leadership; Innovation; Relationships
• Must exhibit the MTN Vital Behaviors of
  • Complete Candor, Complete Accountability, Active Collaboration & Get it done.