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DUTIES AND RESPONSIBILITIES Manage content posts for different digital media channels (FB, Instagram, LinkedIn). Collaborate with the Design Dept. to implement ideas as well as content direction. Brainstorm and propose online, offline event campaigns for users. Evaluate campaign performance by using statistics analyzing tools. Industry research (audience, competitors, ...). Other tasks assigned by the line manager.

The SRE’s primary goals is to ensure the platform reliability, scalability, and availability. Key success metrics include system health and availability, ability to scale infrastructure quickly and appropriately, cost to run services, quality and platform health. Responsibilities: develop internal automation - monitoring, setup, statistics setup automatic systems to control infrastructure monitor live production systems health first-aid reaction to infrastructure / platform failures deal with pr

工作職責： 負責推薦系統和廣告變現相關的數據支持，包括但不限於數據報表平台、數據分析平台等 負責數據的自動化分析處理工作，對巨量數據進行挖掘，產出數據分布規律、變化趨勢、關聯關系

透過各種客戶行為資料，利用機器學習 (Machine Learning) 和統計模型 (Statistical Modeling) 從海量數據 (Big Data) 中挖掘各式使用者行為和能付諸行動的洞見與觀察 (Actionable Insights)，協助集團相關業務單位數據應用建議，將其應用在電商/

A.I. technology/application research, design and development. Machine learning, statistical training, and deep learning development. Initial, innovate, develop and introduce Intelligent Manufacturing Solutions. System analysis, design, development and integration for cross organizations/systems projects.

【What a Data Scientist does in Titansoft？】 1. Apply statistical and machine learning techniques to build models for user classification, fraud detection and other objectives 2. Mine, analyze and visualize data from company databases to drive optimization and improve product development, marketing techniques and business strategies 3. Identify, understand and solve business problems based on the company's overall targets. 4. Coordinate with different feature teams to implement models and design p

【Description of Duties】 • Support the overall business by providing clear visibility on business risk and opportunity during each monthly business planning cycle • Lead all monthly forecast meetings for own brands • Conduct historical sales analysis and data cleansing to build statistical baseline forecast • Be the process controller and co-ordinate with multi-functional teams to develop consensus forecast, incorporating sales & marketing promotion and new launch activities • Reconcile the diffe

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

a. AI inference result processing for robust object recognition, inter-frame association, and tracking b. Scene recognition using AI inference with a statistical basis c. Algorithm writing with efficient, cross-platform code that is capable on edge devices

We are looking for a highly knowledgeable and enthusiastic machine learning engineer to help solve complex problems across a variety of audio processing projects. You will be both creating new solutions and evaluating existing machine learning (ML) processes, as well as performing statistical analysis to create and analyse large data sets. To ensure success as a machine learning engineer, you should be able to demonstrate solid data science knowledge and experience in a related ML role, as well