Data Scientist
Dimension Data
Sandton, South Africa
2d ago
  • Develop actionable insights that can be consumed by the business for commercial impact.
  • Perform advanced data analysis by applying varied and appropriate analytics and modelling techniques that are fit for purpose.
  • Identify, curate and wrangle data sources for analysis purposes.
  • Stakeholder Management Work with data and analytics squads to identify relevant data sources to perform meaningful customer analytics
  • Work closely with the business execution teams to ensure insights make
  • business and financial sense
  • Work collaboratively with various teams to ensure effective delivery of the departmental goals based on analysis results
  • Operational

  • Provide innovative ways to support the implementation and effective execution of the strategy
  • Assist with development and delivery of business cases
  • Use data and advanced statistical methods to generate new business insights
  • Cross-reference and correlate results with supporting material
  • Ensure model results are explainable
  • Develop, train, test, implement, update and maintain analytical models
  • Source and prepare data for analysis and modeling purposes
  • Develop dashboards for business consumption and interaction of results
  • Implement tracking mechanisms to measure the business impact of action taken against results and insights provided
  • Compliance

  • Ensure solutions adhere to MultiChoice patterns, guidelines, and standards
  • Operate within project environments and participate in continuous improvement efforts
  • Delivery Management

  • Follow and participate in defined ways of work including but not limited to
  • sprint planning, backlog grooming, retrospectives, demos, and PI planning
  • Qualifications

  • Degree in Business and Quantitative field (Econometrics, Mathematics, Statistics, Computer Science or Similar)
  • Post Grad Advantageous
  • Experience

  • A minimum of 3 - 5 years of relevant data science experience
  • Application of statistical, mathematical, predictive modeling and forecasting techniques
  • Experience in building and implementation of Supervised and Unsupervised Machine Learning Algorithms to solve meaningful business problems
  • Preparation and presentation of findings to senior management
  • Facilitation of discussion and interpretation of results to deepen business understanding
  • Technical Competencies

  • Azure Machine Learning Services
  • Azure Auto ML
  • Azure Data Lake including parquet files
  • Databricks including DeltaLake
  • PySpark
  • Behavioral Competencies

  • Accountability
  • Teamwork
  • Interpersonal Skills
  • Perseverance
  • Motivating
  • Prioritisation
  • Analytical Thinking
  • Taking initiative
  • Relationship Building
  • Conflict Resolution
  • Critical Appraisal
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