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Co-creating Advanced Machine Learning products that drive revenue, reduce cost and improve Customer Experience. Developing big data monetization propositions and manage their end-to-end (E2E) execution. Delivering actionable insights to support and contribute toward the delivery of M-Pesa CVM objectives and targets. Contributing to the wider community to enable an Advanced Machine Learning capability across M-Pesa and Vodafone globally
Job Responsibility:
Co-creating Advanced Machine Learning products that drive revenue, reduce cost and improve Customer Experience
Developing big data monetization propositions and manage their end-to-end (E2E) execution
Delivering actionable insights to support and contribute toward the delivery of M-Pesa CVM objectives and targets
Contributing to the wider community to enable an Advanced Machine Learning capability across M-Pesa and Vodafone globally
Identify Analyse and Interpret trends or patterns in complex data sets
Support the extraction of data (ETL) from multiple sources
E2E go to market execution for big data and special projects propositions
Prepare analytics and ML model results to business users
Development of machine learning models for various areas of the business on the Big Data Platform
Requirements:
5+ 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)
Nice to have:
Project knowledge and experience would be advantageous