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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

1. Conduct data science projects to help clients drive solutions and solve business problems from various domains using a wide range of data science techniques, including but not limited to Machine learning, data visualization, statistics, and so on. 2. Design, develop and maintain scalable automated machine learning and data science pipelines and applications to empower users to extract valuable results. 3. Build new and enhance existing tools to strengthen the internal toolbox of the Data

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

【畢竟徵才ing】 BITGIN是台灣首家合規的加密貨幣交易所 ，致力於成為台幣進入加密貨幣世界的入口，打造台灣區塊鏈生態系；目前持續積極拓展2B商業合作及2C多元服務，我們歡迎對區塊鏈有興趣

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/

【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

【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

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.

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

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