Data Scientist

• Support work on core business products and customer transactions
• Assist in developing machine learning models under guidance and using industry best practice
• Assist with building, deploying, implementing, and maintaining predictive models and rating algorithms
• Gain familiarity with data capture methods, including REST APIs
• Support building pipelines for real-time consumption and analysis of internal and external data sources
• Support hypothesis testing, machine learning, and analytical designs for prediction, forecasting, and product and business development
• Apply quantitative analysis, data mining, and data presentation to understand customer and user interactions with business products and systems
• Assist in designing and evaluating data experiments
• Support monitoring of key product metrics
• Help build datasets for operational and exploratory analysis
• Assist in evaluating and defining data warehouse metrics
• Contribute to understanding user behaviours and long-term trends
• Support product teams with data-based recommendations
• Communicate business status and experiment results to product teams
• Gain exposure to Hadoop, Hive, MapReduce, MySQL, and Oracle
• Assist in building and maintaining pipelines through querying tools and the ETL framework for the Data Warehouse
• Collaborate with the analytics team to formulate innovative solutions and apply modelling techniques
• Support identification of business opportunities through data mining
• Fulfil ad-hoc data requests and respond to business enquiries
• Provide L1/L2 support alongside junior colleagues and manage and resolve team tickets through SysAid