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Data Scientist - Cape Town City Centre

Main Purpose:
Provide statistical analysis, forecasting, predictive modelling, simulation, and optimisation to discover trends, opportunities, and threats. Communicate findings to business users to answer critical business questions.

What you bring?
  • Educational Foundation: A degree in applied statistics, mathematics, operational research, economics, data engineering, risk management, or equivalent industry training and experience.
  • Advanced Degree: Honours or masters degree preferred.
  • Experience: A minimum of 5 years in advanced analytics, model building, and optimization.
  • Technical Proficiency: Strong skills in data manipulation and analysis using SAS, SQL, or similar platforms, coupled with in-depth knowledge of Data Warehousing and BI environments.
  • Analytical Expertise: Comprehensive understanding of advanced analytical techniques, including statistical methods, segmentation, experimental design, neural networks, data mining, and optimization techniques.
  • Problem-Solving Savvy: Ability to tackle business problems with unknown variables and deliver innovative solutions.
  • Big Data Ecosystems: Experience with Big Data ecosystems and advanced analytical platform skills is a plus.
  • Curiosity and Courage: A deep curiosity and a strong desire to explore beneath the surface of problems. Courage to question assumptions and drive transformational change.
Key Responsibilities:
  • Innovate and Optimize: Utilize your advanced analytics skills to build and optimize models, enhancing business performance and decision-making.
  • Data Mastery: Manipulate and analyze data using SAS, SQL, or equivalent analytical platforms to deliver actionable insights.
  • Strategic Impact: Identify high-value business problems and address them through cutting-edge analytics solutions.
  • Collaboration: Work closely with cross-functional teams to drive change and influence organizational approaches to business challenges.
Key Outcomes:
  • Business Insights: Provide insights through statistical analysis, forecasting, predictive modelling, simulation, and optimisation. Identify, explore, examine, integrate, and scrub data from multiple disparate sources to answer complex business questions.
  • Design advanced analytics models to answer key business questions or discover opportunities for improvement, increased revenue, or reduced costs.
  • Analyze model results, interpret findings, and communicate them in commercial terms to Business Users for clear business impact.
  • Communicate analytical results confidently and clearly to both technical and non-technical audiences.
  • Recommend solutions for creating revenue and reducing costs/loss based on model results.
  • Run and automate regular reporting and operationalize successful models.
  • Partnerships: Establish effective and collaborative partnerships with BI Analysts, Data Scientists, and Use Case Owners in the business.
  • Work closely with Data Analysts to assist in answering complex business problems requiring statistical analysis.
  • Regularly monitor internal and external customer needs and make appropriate recommendations.
  • Stay current with retail industry, Business Intelligence, and data trends to support recommendations and generate value through continuous testing and learning.
  • Stay updated with developments in advanced analytics and methodologies.
  • IT Collaboration: Establish effective and collaborative partnerships with relevant business and IT teams, particularly the BI source systems.
  • Stay updated with developments in advanced analytics technology and methodologies.
  • Monitor and report on IT managements remediation of IT audit findings and IT risks.
  • Contribute to the assessment and selection of IT GRC applications, solutions, and services.

If you're ready to take your career to the next level and make a lasting impact, apply now and become a part of our journey to success!

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