Date Posted: 01-Jul-2021
Full Time / Part Time: Full Time
Contract Type: Permanent
At Vodacom, we’re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it’s our human spirit, together with technology, that empowers us to achieve this.
Description
Role purpose:
• Co-creating Advanced Machine Learning products that drive revenue, reduce cost and improve CX.
• Developing big data
monetization propositions and manage their end to end (E2E) execution.
• Delivering actionable insights to support and contribute toward the delivery of CVM objectives
and targets.
• Contributing to the wider community to enable an Advanced Machine Learning capability across
Vodafone globally
Key accountabilities and decision ownership
• Identify, Analyse and Interpret trends or patterns in complex data sets.
• Support the extraction of data (ETL) from multiple sources.
• Manage E2E go to market execution for big data and special projects propositions.
• Communicate analytics and ML model results to business users.
• Development of machine learning models for various areas of the business on the Big Data Platform.
Key performance indicators:
• Number of Initiatives powered by ML
• Timely delivery of the Big data and ML plans as specified on the roadmap
• Revenue uplift and customer conversion rates
• Quality of support and stakeholder alignment
Core competencies, knowledge and experience
• Excellent analytical, logical and casual reasoning skills.
• Excellent communication skills
• Strong stakeholder management skills
• Ability to anticipate customer, competitor and market dynamics
• Able to challenge the status quo
Must have technical/professional qualifications:
• 4+ years of experience in similar big data and data science role.
• Bachelor’s or Master’s Degree in quantitative fields like Mathematics, Statistics, Economics,
Computer Science or Engineering, Artificial Intelligence, Data Journalism, or related fields
• Significant knowledge of customer driven marketing techniques and processes
• Proficiency in Python and associated data Science ecosystem, Machine Learning and Experiments
Design.
• Expertise in data manipulation: use of structured data tools (e.g., SQL), & unstructured data tools
and platforms (e.g., Hadoop, Spark, NoSQL)
• Project knowledge and experience would be advantageous.
Skills
Modern Marketing Leadership
Data Analytics and Insights
Understanding Customers and Developing Insight