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Memasukkan data pelanggan dalam bentuk dokumen. Menyortir data dan informasi sebelum dimasukkan ke komputer. Memindai dokumen dan file yang diperlukan. Memeriksa dan memperbaiki kesalahan data atau dokumen. Membuat laporan data karyawan.

• Mempersiapkan dan mengatur dokumen sebelum memasukkan data ke dalam komputer. • Memasukkan data ke dalam database perusahaan. • Memeeriksa dan memverifikasi keakuratan informasi yang dimasukkan ke dalam database. • Membuat perubahan pada informasi yang tidak lengkap. • Mencadangkan data sebagai bagian dari rencana kontigensi. • Menanggapi permintaan informasi dari anggota yang berwenang. • Menguji sistem basis data baru dan pembaruan perangkat lunak. • Mengelola dokumen dan catatan perusahaan

Job description: Create Sales Contract and Sales Order - ensure the sales administrative docs well documented Ensure all administrative documents are required Coordinate to logistic unit relate to goods issue Provide documents for audit, other dept request, etc Prepare reports and related data management needs. Create billing Ensuring accurate treatment of tax liability arising from the sale (i.e. perform tax invoice creation, upload to e-SPT and reconcile temporary e-faktur with soft copy billi

We’re looking for motivated individuals to help us with data annotation. Responsibilities will include gathering, sorting, compiling, and annotating data for the training and testing of computer vision models and software products. The role also includes creating and generating clinical reports for clinical staff, and sharing data with senior-living caregivers, nurses, and staff.

Job Responsibilities : A. Entering data from source documents within time limits B. Compiling, verifying accuracy and sorting information to prepare source data for computer entries. C. Reviewing data for deficiencies or errors, correcting any incompatibilities and checking outputs.

Research and evaluate different AI and Deep learning approaches to determine the most effective solutions for given problems Design AI and LLM system pipelines, leveraging libraries like PyTorch, SD, and LangChain (et al.) Build, train, evaluate, and optimize AI models using techniques like deep learning, reinforcement learning, computer vision, NLP, etc. Work closely with data engineers and analysts to implement models in production environments. Monitor and maintain AI systems in production, e

【Game changer, armed with data.】 You know all about our users, through data analysis. And because you do, you can identify issues and present insights to our Product Owners, spurring them into action. Working with your team, you play a key role in enhancing our business value. After all, you're the one who ignited the spark. And no spark, no fire. 【What a Data Analyst does in Titansoft】 ．Use Google Analytics data

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

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

這過程中從整合跨雲異質數據源，到建置能萃取使用者洞察的數據儀表板（Dashboard），再到能改善體驗的機器學習應用，都是我們將會遇到的挑戰。我們期待您的加入！ 【職務內容】 1. 開發、維護並監控Data Pipeline