Posted on :
2 Aug, 2021
BluNova is a subsidiary of Blue Label Telecoms responsible for drawing value from its large heterogeneous corpus of data originating from multiple companies within the Blue Label group. With this data we identify opportunities in the market and develop sustainable solutions to exploit these opportunities. We leverage scalable cloud technologies to deploy our solutions, with a strong emphasis on automation. Most of our data analysis is performed in a distributed spark environment, where we have leg room to spin up large clusters exceeding thousands of cores and terabytes of ram when needed.
Job Title: Junior Data Scientist
Location: Sandton, Gauteng, South Africa
Reference #: B078
Contract Type: Permanent
Salary: Market Related
Responsible for discovering insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals
Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Support sourcing of new data to develop data flows into the platform and enable sanitation of data
Understand the breadth of our data sets and engage in interactive data exploration and data-driven story-telling
Ensure that informative datasets are appropriately served for analytics and BI applications.
Collaborates with data engineer to scope and build data platform to enable data modelling, exploration and mining at large scale.
Ensure that informative datasets are served in the BI layer.
Interaction with business units to understand business models and value drivers.
Ongoing data exploration to identify opportunities, limitations and gaps in the acquired data.
Prepare analytical datasets to visualize value drivers against various metrics.
Build machine learning / predictive models on analytical datasets to uplift value drivers.
Cross-validate predictive models and transparently report on accuracy.
Demonstrates the following scientist qualities: collaboration, clarity, accuracy, precision, relevance, depth, breadth, logic, significance, and fairness.
Provides on-going tracking and monitoring of performance of decision systems and statistical models.
Continuously improves methods and algorithms.
Works transparently, ensures that all analysis is reproducible and uses version control appropriately for collaboration.
Security and Compliance:
Works with the ISO to ensure that the information used is in compliance with the regulatory and security policies in place.
Qualifies where information can be stored or what information, external to the organization, may be used in support of the use case.
Collaborates with the ISO to ensure that the information used follows the compliance, access management, and control policies and that it meets the qualification and assurance requirements of the Group
Data Evangelism and Innovation
Availability as a big data subject matter expert to the Blue Label Group
Promote data driven business approach.
Participation in big data communities / open source
Presents and depicts the rationale of their findings in easy to understand terms for the business.
Communicates and works with business subject matter experts.
Educates the organization both from IT and the business perspectives on new approaches, such as testing hypotheses and statistical validation of results.
Helps the organization understand the principles and the math behind the process to drive organizational buy-in and manage expectations
Follow through to ensure that personal quality and productivity standards are consistently and accurately maintained
Demonstrate consistent application of internal procedures
Plan and prioritise, demonstrating abilities to manage competing demands
Demonstrate abilities to anticipate and manage change
Demonstrate flexibility in balancing achievement of own objectives with abilities to understand and respond to organizational needs
Optimizes Work Processes
Bachelor’s degree in Statistics, Machine Learning, Mathematics, Computer Science, Economics, or any other related quantitative field
Minimum of 2 years’ experience in similar role
Python and/or R
Application Deadline: 16/08/2021