The Principal Data Scientist is based within Big Data.
Co-creating Advanced Analytics products that provide actionable business insight to Vodafone and its stakeholders.
Developing predictive models and recommendation systems with large and varied datasets, working with a community of colleagues across Advanced Analytics, technology, and data and customer functions
Contributing to the wider community to enable an Advanced analytics capability across Vodafone globally.
Interfacing with business stakeholders and product owners to create a roadmap for acceleration of business objectives using machine learning and AI
Development of machine learning models and recommendation systems 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
Machine Learning Model performance tracking and reporting using e.g. Qlik
Uses data visualisation to engage audience in a compelling way, enabling effective storytelling
Delivers key packages of work, on time and in a collaborative manner 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
Contributes to the development of self and others across the global analytics community, ensuring Advanced Analytics is always evolving and at the cutting edge
Professional and/or academic experience in Big Data analytics & deployment of models and algorithms to solve real-world problems (with deep statistical and machine learning modelling expertise)
Experience manipulating and analysing large and complex datasets
Experience in visualisation, creating graphical static and interactive displays of data that clearly communicate insight (preferred)
Good interpersonal communication and presentation skills
Ability to work in a fast-paced environment across multinational functional teams
Analytical and expansive thinking with a strong desire to deliver and develop
Must have technical / professional qualifications:
Bachelor’s or Master’s Degree in quantitative fields like Data Science Mathematics, Engineering, Statistics, Computer Science, Artificial Intelligence or related fields.
minimum 7 years relevant experience is essential
Expertise in data manipulation: use of structured data tools (e.g., SQL), & unstructured data tools and platforms (e.g., Hadoop, Spark, NoSQL)
Proficiency in Python
Expertise in major machine learning modelling libraries (e.g., H2O, scikit-learn, PyTorch) and techniques (e.g. random forest, gradient boosting, 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
Closing date for Applications: 21 July 2021
The base location for this role is, Midrand, Vodacom Campus
The Company’s approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we actively encourage and welcome people with various disabilities to apply.
Vodacom is committed to an organisational culture that recognises, appreciates and values diversity & inclusion.