Data Scientist

2 weeks ago

Singapur, Singapore Zenith Infotech Full time

About the Company Zenith Infotech (S) Pte Ltd. was started in 1997, primarily with the vision of offering state‑of‑the‑art IT Professionals and solutions to various organizations and thereby helping them increase their productivity and competitiveness. From deployment of one person to formation of whole IT teams, Zenith Infotech has helped clients with their staff augmentation needs. Zenith offers opportunity to be engaged in long‑term projects with large IT savvy companies, Consulting organizations, System Integrators, Government, and MNCs. EA 20S0237 EA 20S0237 Employment Details Employment type: Permanent Location: Depot Road, Bukit Merah Singapore Working Hours: 8:30AM to 6:00PM (Mon-Fri) Salary: $ 5000 - 7000 per month with 4-5 months variable bonus Working Arrangement: Full Onsite Qualification: Bachelor's Degree About the Job This project is about the digital transformation of the systems through the use of modern digital solutions, cloud technology, data analytics and AI. Job Responsibilities Work closely as part of the agile product team to design, develop, test and deploy data analytics products (e.g. interactive dashboards, reports and machine learning models) under the guidance of the Product Manager. Requirement gathering and translation of business questions into technical and analytical requirements Carry out data audits and technical feasibility assessments Design, develop, implement and maintain backend ETL pipelines, AI/ML models, database tables, and frontend data analytics products Performance tuning and troubleshooting Perform vulnerability assessments, code quality tests, user acceptance tests Conduct end‑user training, handover training and product demonstrations Perform migration to new technologies where required (e.g., switching of ETL or analytics tools) Perform regression testing and code retrofitting to support tech refresh / platform migration Job Requirements Preferably have completed at least one (01) project using Scrum or equivalent Agile development framework. Experience in translating business questions into analytical problems and using statistical techniques to derive actionable insights. Experience in machine learning and statistical data analysis on large datasets. Strong knowledge of ETL (Extract, Transform, Load) processes. Strong knowledge of data warehousing concepts and data modelling. Proficiency in at least one tool / language under each of the following areas: a) Relational Database Language (e.g., SQL) b) Programming Language for AI/ML/Statistical Studies (e.g., Python, R) c) Data Visualization Tool (e.g., QlikSense, PowerBI, Tableau) / ETL Tool (e.g., Informatica, Talend) Only shortlisted applicants will be contacted. By submitting your application, you acknowledge and agree that your personal data will be collected, used, and retained in accordance with our Privacy Policy. This information will be used solely for recruitment and employment purposes. #J-18808-Ljbffr

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