Senior Azure Data Scientist

A leading technology consulting firm specialising in data science, artificial intelligence, and cloud solutions. Our team works with some of the most innovative organisations globally, leveraging the power of data to create solutions that drive business growth and transformation.

As a senior Azure data scientist, you will be responsible for leveraging advanced machine learning, artificial intelligence, and statistical models to solve complex business challenges using Microsoft Azure’s data science and cloud technologies. This role requires a blend of data science expertise and cloud proficiency, working closely with stakeholders to develop data-driven strategies and deliver impactful insights.

Requirements

• Education: Bachelor's or higher degree in data analytics, statistics, actuarial science, computational mathematics, quantitative fields, computer science, or finance.
• Machine learning and AI expertise: Strong knowledge of machine learning, AI, and data analytics principles.
• Technical proficiency:
  • Expertise in Python, Spark, Azure AI/ML services, and Power BI.
  • Experience with real-time data processing, IoT, and sensor data pipelines (advantageous).
  • Ability to work on large-scale AI projects with a high degree of accuracy.
• Business and soft skills:
  • Strong problem-solving and decision-making abilities.
  • Ability to translate AI insights into practical business solutions.
  • Excellent communication skills to engage with stakeholders at all levels.
  • Experience in training and knowledge transfer for technical and non-technical users.
• Certification: Microsoft Azure Data Scientist Associate (or equivalent).

• Set up and manage data lakes on Microsoft Azure.
• Ingest data from various sources, including sensors, databases, and logs, using Azure Data Factory or Azure Stream Analytics.
• Transform and prepare data to ensure high-quality input for machine learning models.
• Perform feature selection and data engineering to optimise model performance.
• Build, deploy, and refine predictive machine learning models on Azure.
• Monitor and maintain models, setting up alerts for anomalies and performance drifts.
• Integrate AI/ML insights into business applications to drive decision-making.
• Develop training materials and conduct sessions for IT and business users.

• Reference number: GZ60241
• Position type: Contract
• Location: Johannesburg, Sandton
• Salary: R1.1 million per annum (cost to company, negotiable based on experience and ability)

Contact Garth at garthz@e-merge.co.za or call 011 463 3633 to discuss this and other opportunities.

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Posted on 17 Mar 14:09, Closing date 16 May