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We are currently seeking an experienced professional with a strong background in data science and machine learning to join our team. As a Data Scientist for our streaming platform, you will be responsible for developing and optimizing our recommendation systems to enhance user experience and platform revenue. Key Responsibilities: -Design, implement, and maintain recommendation systems for our streaming platform by analyzing large volumes of user behavior and content data to provide personalized

Analytics Engineer 將與產品或行銷相關的資料分析師以及工程師進行合作，透過數據來探索問題、規劃後續的 Data Pipeline 實作，最後和資料工程師一起協作提供 end-to-end 的 data solution，以擴展公司各部門的數據分析能力，並

工作職責： - 數據規範化（規範數據埋點、提供數據查詢規範流程等） - 構建業務指標體系（新用戶獲取、用戶活躍、用戶收入、用戶留存、用戶推廣等） - 探索用戶特徵（動因分析、A/B Test 試驗） - 協助各部門提出的

KEY RESPONSIBILITIES: As a "buddy" to a Senior Associate, collaborating closely on all of their clients' projects. Overseeing the timely and effective completion of the tasks assigned to you, such as creating presentations, implementing technology, cleaning and analyzing data, and cleaning and organizing data. With the assistance of a very competent team, compiling information, producing insights, conducting interviews, creating strategies, and presenting plans to senior client executives, inclu

歷登錄網址: Link [Summary] Winbond is building a data intelligence team to increase productivity, data capability, and business impact. This team is in charge of enterprise data platform, AI and BI solutions to empower not only business operation but also strategic decisions. We are looking for Data Engineer/Analyst to join this new and world-class data intelligence team. You'll collaborate with other Data Scientists, Data Engineers, and various domain-subject ex

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

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

We, at iPASS, leverage transit and e-payment data to drive our business. Being one of few companies powering Taiwan's main transportation, iPASS is uniquely positioned in the market as the cornerstone of the e-payment ecosystem. Your role is crucial in helping the team investigate the data and provide analytical reports to support business decisions. You will also be instrumental in developing a flexible dashboard or API for third parties. Let's stay excited

【Responsibilities】 1. Create and maintain optimal data pipeline architecture, assemble large and complex datasets to meet functional/nonfunctional business requirements. 2. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, redesigning infrastructure for greater scalability, etc. 3. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry l

About the Role You will be Forma’s first marketing operations and analytics subject matter expert. We are looking for a marketing operations champion with an excellent understanding of marketing technologies needed to support the business and marketing analytics and data strategies. We are looking for someone who can offer strategic partnership but also lend tactical support to the rest of marketing, enabling them with the insights necessary to drive effective go-to-market outcomes. This person