選取條件:
數據科學家

遊戲資料科學家 (3008005)
台中市西區
遊戲電玩
數據科學家
面議(經常性薪資4萬含以上)

1. Experience in data science, analytics or engineering preferred. 2. Strong analytical and quantitative skills. Familiar and proficient with data science related languages/tools such as Python or R, and SQL preferred. 3. Experience building and using models to help create production level products and tools. 4. Strong verbal and written communication skills. 5. Interest or experience in Sports and/or Fantasy Sports game. 6. Experience in using cloud platform services, such as Google BigQuery 7. 擅長工具:Python、R、MS SQL

AI工程師/資料科學家/機器學習工程師 (3006730)
台北市松山區
廣告行銷公關
數據科學家
面議(經常性薪資4萬含以上)

工作技能 1.熟悉 ML 相關知識 2.熟悉Python程式語言,包含Pandas, Numpy, Sklearn,Tensorflow, Pytorch等模組 3.熟悉Linux 系統操作 4.熟悉資料庫程式語言 SQL Preferred Qualifications 1. 推薦系統處理專案經驗佳 2. 自然語言處理專案經驗 3. 曾參與ML相關研究、競賽或發表論文經驗佳 4. 具有數位廣告相關經驗壓 5. 統計學專長 6. 具有分散式運算的相關知識,如 Spark、Hadoop、Hive 7. 有使用過GCP, AWS 等雲端服務經驗佳

AI工程師 (3007334)
台北市松山區
廣告行銷公關
數據科學家
面議(經常性薪資4萬含以上)

1.熟悉 ML 相關知識 2.熟悉Python程式語言,包含Pandas, Numpy, Sklearn,Tensorflow, Pytorch等模組 3.熟悉Linux 系統操作 4.熟悉資料庫程式語言 SQL 其他條件 1.三年以上相關經驗 2.推薦系統處理專案經驗佳 3.自然語言處理專案經驗佳 4.曾參與ML相關研究、競賽或發表論文經驗佳 5.具有數位廣告相關經驗佳 6.具有分散式運算的相關知識佳,如 Spark、Hadoop、Hive

Senior Researcher(Data Scientist) (3006624)
台北市內湖區
電腦軟體相關
數據科學家
面議(經常性薪資4萬含以上)

- Excellent in data analyzing, mining, modeling, machine learning and AI algorithm - Proficient in programming languages of both R and Python - Strong critical thinking and problem-solving skills - Familiar with database mechanism - Solid statistical knowledge - 7年以上Data相關工作經驗

【SMDC】資料科學家 (3006176)
桃園市中壢區
半導體製造
數據科學家
面議(經常性薪資4萬含以上)

1.英文精通 2.大學以上,理工科系

Sr. Data Scientist (3006057)
台北市松山區
電腦軟體相關
數據科學家
面議(經常性薪資4萬含以上)

Qualifications and Skills •BS in Computer Science, Electrical Engineering or similar field •5+ years of experience with one modern language such as Java, C++, Python including object-oriented design. •5+ years of experience with machine learning tools and deep learning algorithms and techniques, including but not limited to: oPyTorch, TensorFlow, Keras oCNN, LSTM, RNN oScikit-learn, pandas, numpy oOptimization techniques and fine-tuning models •3+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems. •Experience with MLOps and other production level implementation frameworks and pipelines •Able to work independently on problems and in highly collaborative team environments. •Experience with MLOps and other production level implementation frameworks and pipelines •Able to work independently on problems and in highly collaborative team environments. •Consulting, technical sales or solution architecture experience •Strong oral and verbal communication skills Preferred Requirements •Ph.D. or Master’s degree in a scientific or engineering domain •Experience of ML in Smart Manufacturing, Renewable Energy, Edge AI, Energy Storage, Grid Management, Semiconductor Manufacturing, or similar industries. •Research experience with high impact publications •Fluency with machine learning algorithms, such as CNN, RNN, reinforcement learning, support vector machines, and graph-based models •Experience with messaging systems, Docker, Kubernetes, Spark, EMR, and cloud platforms (AWS or Azure) •Team management and mentoring junior members •Experience with version control systems (e.g. Git flow) •Strong oral and verbal communication skills •Experience working with international cross-functional teams and/or customer facing work