CakeResume Job Search

Job Description With its own data scientists, UI / UX designers and business consultants, ThinkCol Transform is currently looking to expand its team and seeking to hire a data analyst in Taiwan. This person will work closely with our team in Hong Kong to develop machine learning models, build data science training materials and establish our business operations in Taiwan. Responsibilities Create machine learning model with senior data scientists Performing data cleansing process with multiple da

成工作。我們熱愛新想法與導入新科技，任何idea以及嘗試，我們都很熱意討論。 工作內容： 1. Develop and design data / backend service systems for business related purpose. Develop, operate, and monitor ETL for data collection, cleansing, processing, storage, and analytics Design, build, and maintain APIs, services, and systems. Innovate and implement tools to enhance internal team

At SHOPLINE we are working on very interesting initiatives that would involve using data-mining and machine learning. with the vast amount of data that we currently have and growing exponentially. We will share details during the interview. 【What you'll be doing 】 - Develop, operate, and monitor ETL for data collection, cleansing, processing, storage, and analytics - Responsible for data schema management and db performance tuning - Develop backend APIs and maintain data visualization platform f

- Develop data records management processes and policies - Identify areas to increase efficiency and automation of processes - Set up and maintain automated data processes - Identify, evaluate and implement external services and tools to support data validation and cleansing - Produce and track key performance indicators of all digital channels (paid, owned, earned media) - Creating dashboards, data visualizations, and campaign and website performance reports. - Monitor and audit data quality -

The Role: We are seeking an exceptionally talented data scientist with strong modeling and programming skills to join our team. In this role, you will work closely with data science team and technologists across the firm to develop appropriate features and metrics for data processing. Perform analysis and generate models of financial datasets using machine learning techniques Process, clean and verify the integrity of unstructured data and turn data into valuable insights Develop and create data

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

【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

1. Improve model accuracy/performance to achieve real-time inference on edge device. 2. Iterate model to cover all kinds of common features on highway/city scene. 3. Develop a single model to simultaneously output object detection and segmentation result. 4. Apply model distillation, pruning, factorization, and quantization. 5. Data cleaning and augmentation. 6. Port to edge device, profile and find bottlenecks. 7. SOTA paper

Data Organization and Analysis - Analyze the product logs and propose suggestions for product optimization. - Collect, generate, and clean data, such as finding relevant articles for specific topics and creating relevant questions. Prompting - Utilize generative AI to expedite the work process. - Develop prompts to generate data at a large scale. System Testing and Evaluation - Ensure the performance of in-house generative AI models. - Compare the performance of various language models, such as

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