Vodafone3,893 reviews-Vodafone3,893 reviewsRead what people are saying about working here.Johannesburg, GautengVodacom is a Leading African Mobile communication company providing wider range of communication services including mobile voice, messaging, data and converged services to over 73.6 million customers. From our roots in South Africa, we have grown our mobile network business to include operations in Tanzania, DRC, Mozambique and Lesotho. The mobile networks cover a total population of approximately 200 million people. Through Vodacom Business Africa (VBA) we also offer business managed services to enterprises in over 40 countries across the continent. Vodafone is the majority shareholder of Vodacom and has a 65% share.Were at our best when we lead and over the past 25 years, as the Company that pioneered mobile in South Africa, Vodacom has achieved a remarkable list of firsts. Were immensely proud to be a leader in our field and are 100% committed to continue trailblazing.We employ individuals who are as passionate about customers as we are. We are truly Customer Obsessed which means that we are passionate about exceeding customer expectations; work relentlessly to really understand the customer; look at decisions through the customers eyes and take personal accountability for the customer experience.
We have the below vacancy available in our Organisation:
The G band Data Scientist Role based within Finance Business Unit.
The role of the Data Scientist is:
Co-creating Advanced Machine Learning products that drives revenue, reduce cost and increase customer experience.
Developing predictive models with large and varied datasets, working with a community of colleagues across Advanced Machine Learning, technology, and data and customer functions
Contributing to the wider community to enable an Advanced Machine Learning capability across Vodafone globally.
Your Responsibilities will include:
Development of machine learning models for various areas of the business on the Big Data Platform
Development of prototype code in e.g. PySpark for automated training and scoring of the machine learning models
Uses data visualisation to engage audience in a compelling way, enabling effective storytelling
Work with lead data scientist to deliver key packages of work to meet the needs of business customers
Works in partnership with Big Data Engineering for data ingestion to support use cases
Works in partnership with Big Data Production Data Engineering for model automation and productionising
The ideal candidate for this role will have:
Bachelors or Masters Degree in quantitative fields like Mathematics, Statistics, Economics, Computer Science Engineering, Artificial Intelligence, Social Sciences, Data Journalism, or related fields
Expertise in data manipulation: use of structured data tools (e.g., SQL), & unstructured data tools and platforms (e.g., Hadoop, Spark, NoSQL)
Proficiency in at least one relevant programming language: Python, Scala
Expertise in machine learning libraries (e.g., R, H2O) and multivariate techniques (e.g. k-means segmentation, multiple regression, factor analysis, time-series forecasting)
Experience in digital data sets, e.g., social listening, social network analysis)
Familiarity with visualisation tools (e.g. Tableau, Qlik, D3)
Exposure/interest in machine learning