We’re looking for a Junior Data Scientist to join our OPS BI DAS team! You’ll work on real AI applications that drive Shopee’s operations — from fraud detection, product review automation, and customer service classification to invoice/payment risk analysis and anti-money laundering
【 What you’ll do】
-Support and optimize existing NLP/CV/LLM models (LSTM, BERT, Vision Transformer, etc.)
-Conduct data analysis & monitor model performance
-Collaborate with cross-functional teams to bring AI into real business workflows
-Contribute to new model design & development
【What we’re looking for】
-Background in CS, Statistics, Data Science, or related fields (internship or project experience welcome!)
-Proficiency in Python, with hands-on experience in ML/DL frameworks (PyTorch/TensorFlow)
-Familiarity with NLP models (e.g., BERT, LSTM)
-Curious, proactive, and eager to apply AI in real-world scenarios
1. Actively clean, process, and validate Data streams for ML model consumption. Contribute to the implementation of MLOps best practices (CI/CD) and risk mitigation strategies as guided by the engineering team.
2. Actively develop and implement Python scripts and small utilities for model features and basic algorithm testing. Ensure development practices align with model fairness and ethical guidelines.
3. Establish and track technical Key Performance Indicators (KPIs) to measure model effectiveness post-deployment. Document and report potential technical risks identified during implementation.
4. Create and maintain a single source of truth for all active Carrier/vendor technical requirements and specifications. Support the definition of project scope, timelines, and milestones.
5. Act as the central liaison between Engineers, Data Scientists, and Business stakeholders. Translate incoming high-level partner requests into clear, detailed, and actionable engineering specifications and tickets.
6. Provide regular, concise updates for stakeholders on project progress, key metrics, and any blockers.
7. Annual salary: 1000K NTD and above
8. Onsite Google Banqiao Office
工作內容:
• Designing and maintaining cloud-based data warehouse, including data collection, modeling, and storage.
• Maintaining batch and streaming pipelines, ensuring data quality.
• Developing data APIs based on product requirements and deploying them to Kubernetes using Gitlab CI/CD.
• Understanding user needs and handling data retrieval and dashboard support tasks.
• Continuously learning, optimizing data architectures, and introducing new technologies.
駐點在外商客戶端
良好的溝通能力、邏輯思考能力、能夠清晰表達自己的想法,同時能與團隊一起探討每項行動背後的思路與目標。
必備的能力和經驗
1. Power BI development: design, build and deploy interactive BI dashboard and reports, including optimize data models, DAX queries and report performance.
2. Data integration: integrate Power BI with various sources(Databricks, SQL Server, Oracle database, Sharepoint, file directory)
3. SQL and data modeling: optimize complex SQL queries for data extraction and transformation by delivering efficient data models for reports analytics
4. Programming and automation ability is plus, e.g. Python, Power automate
5. Cloud platform and DevOps experience is plus, e.g. Databricks, Gitlab
• 三年以上Power BI開發經驗,熟悉Databricks或類似雲端數據平台,Data warehouse與ETL開發與管理
• IT系統專案經驗(IT project development experience)
• 製造業相關產業IT經驗
• 熟悉製造業或是ERP相關流程與數據
• 英文讀寫能力,根據需要完成相關技術、測試文件
• 在跨國公司工作和與全球團隊互動的經驗,能與不同文化/工作模式的同事一同合作
▇ 相關工作職責
• 與使用者一同合作來定義需求以滿足業務要求,並滿足可擴展以及可行性
• 將需求轉換為設計開發規範文件(specifications)並進行開發
• 針對專案運行產生的問題/需求進行維護、管理以及提供問題根本原因的解決方案或替代方案(root cause solving or workaround solution)
• 針對不同範圍/複雜性的技術問題提供解決方案
• 在設計、開發、部署階段,根據需要完成相關技術、測試文件
• 新技術、專案上線後的技術移轉與技術支持
▇ 加分的能力和經驗
• 持續學習,會根據市場趨勢或公司需要增加技術或非技術相關的能力
(如Databricks、Qlik Replicate)
• 專案管理經驗
• 其他:持續學習(成長心態)-樂於找方法/解決問題、當責(accountability)、良好的溝通(傾聽)能力、自我管理能力強