Data Scientist/ML Engineer (SA) - 50k, Educational Institution

An educational institution is hiring an experienced Data Scientist for their Data team to in charge all the data science projects.

Responsibilities

• Design, implement, validate and administer the machine learning platform on cloud-based Data Lakehouse
• Implement, measure and optimise the performance of algorithms and models
• Enhance data collection process for building advanced analytics
• Perform the data analytic, predictive modelling develop automated data analytic & other processes
• Working closely with project managers and commercial users to analysis the business requirements and translating them into technical requirements
• Develop Proof of Concepts using cutting edge AI / Data Analytics technologies and industry best practices
• Support senior management to build awareness and assess opportunities for AI / Data Analytics technologies to maximise value / impact of the function, and provide implementation recommendations
• Work with Business and IT stakeholders to co-design implementation roadmap
• Develop and maintain effective partnerships and teamwork through close collaboration with internal stakeholders, IT teams and external vendors for continuous improvement and innovation
• Perform other IT projects and assignments as directed

Requirements

• Bachelor’s degree or above in Machine Learning, Computer Science, Statistics, Mathematics or related discipline
• At least 5 years’ experience in IT field and at least 3 years solid experience work as Machine Learning Engineer or Data Scientist
• Experienced in working with large data sets in appropriate technologies, and in working with data engineers to build good data
• Proficient in Machine Learning model development workflow and good understanding of data exploration, data processing, and feature engineering techniques
• Track record of successful application of established Data Science, ML and statistical techniques to solve realworld problems in areas such as natural language processing and graph analytics
• Experienced with data presentation tools such as Power BI / Qlik Sense / Tableau, to clearly articulate the outputs, conclusions and weaknesses of your models to both technical and non-technical stakeholders
• Experience in Oracle Autonomous Database and/or cloud data lakehouse is an advantage
• Good team player while be able to work independently with proficiency in problem solving and troubleshooting