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Job Description


IT Data Scientist


AA/EE:                                                   Preferable            

Contract:                                               Permanent

Location:                                               Johannesburg

Available:                                              ASAP


About the Role:

A leading hospitality group in Johannesburg is looking for an IT Data Scientist with a minimum of 5 years’ experience.  The incumbent will be responsible for the processing, analysing and interpreting of high volumes of “big” business data, through the application of machine learning algorithms to derive various business insights, and creating machine learning-based tools and data driven intelligence solutions, that assist decision-making processes to improve business outcomes, streamline processes, and make recommendations for product enhancements.


Minimum Requirements

  • B Degree (STEM) 
  • Data Science Certification
  • At least 5 years’ experience in a big data or statistical analysis
  • Strong SQL Skills
  • Experience using statistical computer languages to manipulate data and draw insights from large data sets
  • Experience creating and using machine learning algorithms and statistics

Job Description

Delivered Machine Learning Tools

  • Partner with business to identify internal objectives, performance challenges and requirements and advise on suitable metrics to provide the business with relevant business intelligence
  • Translate high level business objectives into technical system requirements and develop robust, automated tools 
  • Design, develop and establish relevant frameworks, models and practices to enable machine learning
  • Develop custom data models, algorithms and running simulations to mine data sets
  • Use predictive modelling to increase and optimise customer experiences, revenue generation, campaign targets and other business outcomes
  • Develop Sun International’s A/B testing framework and test model quality 
  • Create standardized, automated reports as well as more in-depth analyses suited to centralized analysis which will provide intelligent data to facilitate business decisions in various business areas 
  • Design reporting mechanisms which provide timely insight into business trends such as market segmentation, customer preferences and special event performance, etc. 
  • Create metrics reports and dashboard views of business performance and revenue results
  • Design tools that analyse data sets and find opportunities for product and process optimisation and using models to test the effectiveness of different courses of action
  • Assess the effectiveness and accuracy of new data sources a data gathering techniques
  • Reconcile discrepancies between the expectations of management and information presented in reports
  • Conduct testing on the tools based on new data adjustments in order to arrive at relevant predictive information and data accuracy
  • Keep up to date with latest technology trends

Data Analytics & Reporting

  • Collect data from data warehouse and various business systems as well as the data analyses relative to the business areas 
  • Benchmark performance statistics against competitor product and performance insights and make recommendations to optimise results and identify risk potential 
  • Create and apply data management solutions, tools and processes that are relevant and provide business intelligence and insights to ensure the data adds value to the operations and that the business remains relevant and competitive
  • Prepare thoughtful and timely analysis of business data to indicate performance statistics including data from online, web, e-mail, social media channels and campaign performance
  • Conduct data analyses including but not limited to data extraction, consolidation, manipulation, analysis and reporting of business performance and customer behaviours
  • Design and execute effectiveness measurements, such as conversion rates, active database, visitor trends and measurement against appropriate benchmarks player spend, revenue statistics
  • Conduct integrity analysis, such as reporting erroneous or incomplete data entries and variances, revenue, and customer reinvestment algorithms
  • Interpret and present results to management, providing insights out of data to support the business in making decisions
  • Report on key metrics, analysing and interpreting trends and providing actionable insights based on available analytics data
  • Submit data-sets and related reports to the various stakeholders on a regular and ad-hoc basis
  • Present findings and recommendations to guide future business direction including working with various business teams with regards product performance, necessary product changes, services, etc.  
  • Maintain confidential information and protects business data by keeping information confidential

Stakeholder Engagement

  • Collaborate with other analysts to define, communicate, and document project objectives, analyses and recommended solutions
  • Collaborate with department operators and IT Development management to identify risks and opportunities, track actual performance vs. budget, and establish key performance indicators for business areas
  • Collaborate with suppliers around new products, technologies, channel and campaign performance to further support new innovations and business requirements
  • Be an active member of the of the IT development team and provide valuable insights and build and monitor IT and business solutions to guide business decisions
  • Provide feedback and business intelligence to management
  • Manage SLA to deliver to internal customers around technical requirements and support
  • Manage the briefing and performance of any third-party providers against contracted deliverables
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Lindsay Strauch
+27 (0) 11 759 4039