Big Data and Special Projects Manager Needed at Vodacom Tanzania

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