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Responsible for developing and implementing advanced analytics models to assess credit risk and make data-driven decisions. Develop and maintain predictive models for credit risk assessment using machine learning and statistical techniques. Analyze large datasets to identify trends, patterns, and insights related to credit risk. Collaborate with cross-functional teams to implement risk models into business processes. Lead and mentor a team of data scientists and analysts. Stay abreast of industr

【Game changer, armed with data.】 You know all about our users, through data analysis. And because you do, you can identify issues and present insights to our Product Owners, spurring them into action. Working with your team, you play a key role in enhancing our business value. After all, you're the one who ignited the spark. And no spark, no fire. 【What a Data Analyst does in Titansoft】 ．Use Google Analytics data

Introduction As a Data Scientist at IBM, you will help transform our clients’ data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it’s investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live. Your Role and Responsibilities

入我們，一起創造更多旅遊的可能性與未來。 【你將會參與的事】 1. 與 KKday 其他團隊合作，設計、開發 dbt (data build tool) code，支持各項業務需求，為公司的業務發展提供資料，設計和建立資料分析報告和資料儀表

Get data from both internal and external sources via API or crawlers. Perform data analysis to help marketing/business teams to answer business/operational questions. Build and optimize models for business decision making. Interpret trends or patterns from complex data sets by using statistical and visualization tools. Conduct data analysis reports to illustrate/visualize the results and insight. Build analytics tools that utilize the data pipeline to provide insights to customer needs

Responsibilities ● Carrying out keyword research using software such as aHrefs, SEMrush, and Google Keyword Planner to optimize web content ● Tracking website performance and generating insights/optimization plans such as organic traffic, conversion rates, and time spent on the page using platforms such as Google Analytics and Similarweb ● Monitoring and reporting on search trends and SEO performance using Google Trends ● Performing competitor analysis to identify content gaps and areas for impr

職責: - 彙整內外部資料，運用統計或機器學習技術，結合數位行銷，洞察資料價值 - 使用BI軟體，視覺化分析結果，並提出建議及後續成效追蹤。BI軟體如PowerBI - 了解資料ETL流程(資料萃取、資料轉置、資料清理

Job description: Part of You & Mr Jones, the world's first brandtech group, fifty-five is a data company helping brands collect, analyse and activate their data across paid, earned and owned channels to increase their marketing ROI and improve customer acquisition and retention. Headquartered in Paris with offices in London, Hong Kong, New York and Shanghai, the data company was named by Deloitte as one of the fastest-growing tech firms in Europe, thanks to its unique technology

的數據工程師 Solution Engineer，您將和55台灣及亞太區團隊協助客戶解決在網站和APP上導入數據收集代碼(data collection tags )的相關問題，包含網站分析、媒體追蹤、行銷技術導入、數據追蹤現況稽核以及回應客戶相關

上廣深、香港、台灣。 涵蓋零售、醫療、金融、廣告、政府等產業。 工作內容： 協助客戶進行數據處理 (data clean/transform/labeling/profiling/feature selection …etc) 協助客戶數據分析建模 協助客戶將分析結果視覺化 協助客戶搭建Private Data Management Platform