Data Science Jobs in Port Elizabeth
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Search Results - Data Science Jobs in Port Elizabeth
Datonomy Solutions-Port Elizabeth
into actionable business strategies for diverse stakeholders.
Key Responsibilities
Data Science & Modelling
Design, develop, and deploy machine learning models for key retail use cases such as customer segmentation, churn prediction, product affinity...
Profile Personnel-Port Elizabeth
Requirements
• Degree or National Diploma in Mechanical/ Industrial /Electrical Engineering or Production Management/ Supply Chain Management /Logistics/ Information Technology/ Data Science
• At least 3 years’ experience gained within...
Staff Unlimited Recruitment Pty Ltd T/A MPC Recruitment Group EC-Port Elizabeth
AI technologies and methods in Data Science
• Advise on innovative data collection strategies and recommend best suited approaches.
Requirements:
• 7+ years of experience in Data Science
• Bachelor’s degree (or equivalent) in Statistics, Applied...
Data Science jobs – More locations:
Growth Troops-Port Elizabeth
working remotely on Eastern Time Zone hoursBonus PointsExperience helping build or refine a sales playbook at an early-stage startupBackground selling into marketing, analytics, or data science teams
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Top Vitae-Port Elizabeth
and Stakeholder Support:
• Work closely with research, data analytics and data science to understand operational needs and deliver scalable data solutions.
• Translate data and workflow requirements into robust, maintainable technical systems.
• Provide technical...
Canonical-Port Elizabeth
is widely used in flagship initiatives in public cloud, data science, AI, engineering innovation and IoT. Our customers include world’s leading public cloud and silicon providers and industry leaders in many sectors. The company is founder-led, profitable...
Canonical-Port Elizabeth
OverviewCanonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is widely used in enterprise initiatives such as public cloud, data science, AI, engineering...
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