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Head of Data Science: Blunova

4 months ago

Sandton, South Africa Blue Label Telecoms Full time

About Company
At BluNova, our brand philosophy is that we can create and distribute anything that is able to be digitised.

Our Blu-approved brand is the face of our service offering and is underpinned by a world-class technology platform for both online and offline commerce.

With a point-of-sale network of approximately devices, we provide a distribution footprint across all income groups. 85% of our income comes from merchants in the informal sector.

Job Purpose


Responsible for building an analytical strategy and driving a capability and team that is responsible for delivering solutions to business with insight from understanding needs and analysing massive amounts of structured and unstructured data.

This role is intended to help shape strategies, guide decision making and provide solutions that meet specific business needs and goals

Responsibility

Strategy and Continuous Improvement

  • Staying up to date with, and where appropriate driving, influencing and facilitating adoption the best in class technologies and techniques for statistical analysis, modelling and decisioning across the team and broader business and in relation to projects that may be underway
  • Leading and managing the roll out of Big Data capabilities, consumer initiatives, analytics frameworks, decisioning solutions and best practices within the business across the domains of Data Engineering, Data Science and Decisioning Researching, designing, implementing, and deploying fullstack scalable data analytics and machine learning solutions to resolve various business issues
  • Consistently conducts research, design, implementation, and validation of cuttingedge algorithms to analyse extensive data sources that are available and build solutions which enable desired business outcomes on diverse fronts
  • Architects and implements data management systems of analytic frameworks for the business's data
  • Support BluNova's Management in formulating new, creative and effective ways of leveraging the business's vast data store and capabilities set to both resolve existing business solutions and develop new business opportunities
  • Develops, implements and maintains stateoftheart algorithms for object detection, segmentation, classification, and recognition
  • Ensures all team members are mentored and upskilled in line with all developments made in the Data Science space to enable a chain of continuous capability development through the team, and seamless handover of capabilities between team members as and when required
  • Key inputs into the overall strategy into the BIuNOVA Analytic and Decisioning business
  • Drive engagement across all functional capabilities within the business with the aptitude to scale up a business to be delivery and production focussed
  • Overall general management and commercial background to drive effective value creation

Data Gathering

  • Motivate for and support sourcing of new data and/or features of data that may be required to deliver against requests or requirements that may be presented
  • Work with stakeholders throughout the organisation to identify opportunities for sourcing company data which may facilitate solutions delivery
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques and ensure that they are appropriately integrated with data pipelines, data structures and features produces
  • Ensure that new data sourced or implemented in the environment does not negatively impact on existing data products, and if there are changes, that those are appropriately managed through the environment
  • Understand the breadth of BluNova's data sets and engage in interactive data exploration and datadriven storytelling

Data Modelling

  • Drive the development of custom data models and algorithms that enables delivery of solutions, and which are best fit for purpose within the context of the solution
  • Collaborate with data engineer(s) and/or software developer(s) to scope, monitor and maintain the analytics environment to, enable data modelling, exploration, mining at scale and productionisation thereof
  • Use modelling to optimise solution development, decisioning and customer experience
  • Responsible for the architecture of data structures and feature sets that
  • Facilitate diverse and detailed analysis
  • Enable large scale processing and
  • Manage data sensitivity

Data Science

  • Work with stakeholders throughout the organisation to understand business models, value drivers, needs and context in order to identify opportunities for leveraging BluNova's data to develop, communicate and deliver business solutions
  • Coaches and supports the BluNova team members and stakeholders to enable appropriate solution development, socialisation, buyin and deployment Ongoing data exploration to identify opportunities, limitations and gaps in the data
  • Prepare analytical datasets to visualise value drivers against various metrics
  • Mine and analyse data from avai