Data Scientist at Vodacom

To provide Vodacom Business CVM Team with Machine Learning outputs using Spark on Cloudera clusters. The end goal is to enable the advanced analytics with analytical rigour to inform CVM projects and campaigns. Enable higher conversion rates for executed campaigns.

Your Responsibilities Will Include

• Co-creating Advanced Analytics products that provide actionable business insight to Vodacom Enterprise CVM and its stakeholders.
• Developing predictive models with large and varied datasets, working with a community of colleagues across Advanced Analytics, technology, and data and customer functions.
• Work with CVM Teams to agree on pragmatic means of data provision to support use cases.
• Uses a variety of datasets to test hypotheses, discover hidden relationships and provide actionable insights to Vodacom Enterprise CVM businesses.
• Designs, develops & tests analytic models to industrialise insight into operations to solve real business problems.
• 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 Technology and local BI and analytics teams to agree on pragmatic means of data provision to support use cases.
• Contributes to the development of self and others across the global analytics community, ensuring Advanced Analytics is always evolving and at the cutting edge.

Leadership and teamwork

• Create positive working relations between Vodacom Business CVM team players and their stakeholders
• Work collaboratively with the Vodacom Business teams to deliver requirements

Communication

• Written material must be of the highest quality with clear insights and actions for management
• The ability to communicate and present effectively at a senior level is essential
• The ability to prepare and present performance to sales team and regional teams

The Ideal Candidate For This Role Will Have

• Professional and academic experience in Big Data analytics & deployment of models and algorithms to solve real-world problems (with deep statistical 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.
• Bring in new data to augment current available data for models development
• Simplify and standardise modelling, reporting and processes wherever possible whilst ensuring that the requirements of the business are delivered
• Look for new and innovative ways of working to strive for continual improvement
• Honour’s/Master’s Degree in quantitative fields like Mathematics, Statistics, Economics, Computer Science Engineering, Artificial Intelligence, Social Sciences, Big Data, or related disciplines
• A minimum of 5 to 8 years’ experience in the following:
• 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, MapReduce, Mahout, Java, C++
• Expertise in major statistical modelling software packages (e.g., R, SAS) 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 Sense, Power BI)
• Solid Exposure in machine learning