- Geylang Southeast (Singapore) Singapore
全职 Data Scientist 工作, 薪水 up to SGD 12,000, PAN-UNITED TECHNOLOGIES PTE. LTD. Southeast (Singapore) 公司招聘中 - Ricebowl
分享
保存
工作地点
职位描述
岗位职责
Job Description:
Manage the day-to-day operations of the AIM team, providing technical guidance, coaching and mentoring to support project delivery and team development.
Collaborate with departments to understand business requirements and identify opportunities for data-driven decision-making.
Manage and perform data mining, engineering, modelling and visualisation using programming languages to transform raw data into actionable insights.
Develop and implement analytics solutions using data mining, machine learning and natural language processing (NLP) to analyse structured and unstructured datasets.
Develop and implement quality controls and departmental standards to meet organisational and regulatory requirements.
Manage analytics and information management risks and issues, escalating where necessary to the Group Head, IT.
Stay updated on emerging technologies and trends in analytics, AI and information management.
Collaborate with departments to develop data visualisation tools, interactive dashboards and dynamic reports to support business decision-making.
Prepare and deliver technical presentations to stakeholders, showcasing the company's solutions and services.
Develop and deliver product demonstrations and proof-of-concepts (POCs) to showcase the company's offerings.
Job Requirements:
Master's degree in Computer Science/ Information Technology or equivalent
Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
Proficient in a programming language (Python, Java, SQL)
Experience/Knowledge in Operation Research (OR) is would be an advantage
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Adept at queries, report writing and presenting findings
Additional experience in data visualization and/or knowledge of reinforcement learning is a plus
Manage the day-to-day operations of the AIM team, providing technical guidance, coaching and mentoring to support project delivery and team development.
Collaborate with departments to understand business requirements and identify opportunities for data-driven decision-making.
Manage and perform data mining, engineering, modelling and visualisation using programming languages to transform raw data into actionable insights.
Develop and implement analytics solutions using data mining, machine learning and natural language processing (NLP) to analyse structured and unstructured datasets.
Develop and implement quality controls and departmental standards to meet organisational and regulatory requirements.
Manage analytics and information management risks and issues, escalating where necessary to the Group Head, IT.
Stay updated on emerging technologies and trends in analytics, AI and information management.
Collaborate with departments to develop data visualisation tools, interactive dashboards and dynamic reports to support business decision-making.
Prepare and deliver technical presentations to stakeholders, showcasing the company's solutions and services.
Develop and deliver product demonstrations and proof-of-concepts (POCs) to showcase the company's offerings.
Job Requirements:
Master's degree in Computer Science/ Information Technology or equivalent
Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
Proficient in a programming language (Python, Java, SQL)
Experience/Knowledge in Operation Research (OR) is would be an advantage
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Adept at queries, report writing and presenting findings
Additional experience in data visualization and/or knowledge of reinforcement learning is a plus
重要安全守则
申请工作时，切勿提供您的银行或信用卡详细资料。不要转账或完成无关的在线调查问卷。如果您发现可疑内容，请举报此招聘广告。
了解更多