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- 了解電力能源相關領域知識（太陽能、風力、電力平衡調度 等等），以效率為前提，應用 ML 來解決能源領域常見的痛點 - 開發或維護 ML 的相關產品：太陽能發電預測、太陽能電廠異常偵測、太陽能清洗預

Multinational technology group KKCompany Technologies is a pioneer in the field of software services. The company is dedicated to creating values for customers with core businesses of multimedia technologies, digital cloud, and AI applications. At KKCompany, we believe “Innovation Made Simple,” and technology is the answer to the struggles faced by every industry. Since its establishment two decades ago, KKCompany has expanded its portfolio, including KKBOX, BlendVision and Going Cloud. KKBOX is

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

We're looking to expand our team of developers in the data platform team. As a part of our agile team, you'll be working with innovative tools, processes, and people to engineer web applications that are distributed and consumed on a massive scale. You are open to change and eager to work with tools and technologies that may be outside your comfort zone. You enjoy working in an open and collaborative environment. You express your

About Internship Program This internship will run from from July 1, 2024, to August 30, 2024 , for a consecutive 9 weeks on full time basis. Yahoo will be prioritizing applicants who have a current right to work in Taiwan , and this internship position is not available for Yahoo's visa sponsorship. Participants must be located in Taiwan throughout the duration of the program . Hiring team will review applications on a rolling basis (first come, first serve) and

Job Title CS - Data Science Engineer - Tainan Degree: Work Experience: Travel: Workplace Types: Job Description: Introduction to the job As a Data science engineer in CS Operational Excellence team, you will be part of the digital transformation journey within Customer Support OPS towards sustainable improvement in data automation, data visualization and systems applications with the aim of creating value and reducing wastes. You will provide support to the line organization and co-ordinate the

To design and develop innovative machine learning models that enhance our content products and improve user experience. We're looking for individuals who enjoy challenges and are passionate about making a real impact to LINE TODAY. Responsibilities Develop ML models, prototypes for recommendation scenario. Evaluate model performance and make improvements as needed. Communicate results and insights to the team and stakeholders.

We are data team in EC LINE TW. First, you will have chance to participate huge scale machine learning and data engineering architectures for recommendation, data pipeline, search application and NLP for EC family services in LINE TW. In addition, you will learn how to cook complete data solution by LINE machine learning, big data and cloud platform. Furthermore, working with diverse roles in EC Data team is challenging and very interesting experience (data engineer, data scientist

Job Description Summary : Data Entry responsibilities include collecting and entering data in databases and maintaining accurate records of valuable company information. Job Description : • Update & maintain information on the company database • Compile, verify, and review data deficiencies or errors, correct any incompatibilities • Scan documents and print files, when needed • Keep information confidential • Respond to queries for information and access relevant files • Comply with data integri

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