Data Scientist (Intermediate) Cape Town Based at IQbusiness

KEY OUTCOMES

• Provide business insights through statistical analysis, forecasting, predictive modelling, simulation and optimisation. tIdentify, explore, examine, integrate and scrub data from multiple disparate data sources required tanswer complex business questions.
• Design advanced analytics (quantitative) models that will answer key business questions or discover opportunities for improvement, increased revenue or reduced costs.
• Analyse model results, interpret findings and communicate these findings in commercial terms tBusiness Users sthat the business impact is clearly understood.
• Confidently and clearly communicate analytical results tboth technical and non-technical audiences.
• Recommend solutions for creating revenue and reducing costs/loss based on model results.
• Run and automate regular reporting and operationalise successful models. 
• Establish effective and collaborative partnerships with BI Analysts / Data Scientists / Use Case Owners in the business
• Work closely with the Data Analyst(s) tassist in answering complex business problems that require statistical analysis.
• Regularly monitor internal and external customer needs and make appropriate recommendations.
• Remain current with retail industry and Business Intelligence and data trends that will have business strategy implications or can be used tsupport recommendations tcontinually ‘test and learn/ tgenerate value. ·
• Remain current with developments in advanced analytics and methodologies.
• Establish effective and collaborative partnerships with relevant business and IT teams, particularly the BI source systems.
• Remain current with developments in advanced analytics technology and methodologies.
• Monitor and report on the progress of IT management’s remediation of IT audit findings and IT risks.
• Contribute tthe assessment and selection of IT GRC applications, solutions and services

CORE REQUIREMENTS

Degree in applied statistics, mathematics, operational research, economics, data engineering, risk management or equivalent industry training and experience.A minimum of 5 years in advanced analytics and optimisation of which at least 1 -2 years experience must be with the building of data models

• The ability tlook at a model and evaluate it
• Experience with data manipulation and analysis using SAS and SQL skills or equivalent analytical platform skills.
• Experience with Python coding (basic tintermediate skill level)
• Business acumen

As well as:

• In depth knowledge of Data Warehousing and BI environments
• Strong theoretical and practical knowledge of advanced analytical techniques, including: statistical methods, segmentation, experimental design, neural networks, data mining, optimisation techniques. ·
• Ability tidentify which business problems will have the most value tthe organisation if addressed through an advanced analytics solution. ·
• Ability tdeal with situations where there are a lot of unknowns.

ADDITIONAL CRITERIA

• Advanced degree (honours or masters) preferred.
• Experience with Big Data ecosystems and SAS and SQL skills or equivalent analytical platform skills advantageous.
• Deeply curious and a strong desire tgbeneath the surface of a problem.
• Courage tquestion existing assumptions and business processes and the ability tdrive change and influence how the organisation approaches business challenges.