6/29 資料科學家 Data Scientist
- 干城數碼有限公司
- 電腦軟體服務業
- 台北市中山區
- 2年以上
- 大學
這份職位將參與知名消費電子品牌數據分析部門專案,與多位資料科學家、資料工程師合作,為企業打造數據加值的解決方案。 我們團隊利用多元的量化分析工具,曾推動多個具有影響力的專案,如「產品銷量預測、零件需求預測、產能規劃最佳化」,應用到的方法包括:機
這份職位將參與知名消費電子品牌數據分析部門專案,與多位資料科學家、資料工程師合作,為企業打造數據加值的解決方案。 我們團隊利用多元的量化分析工具,曾推動多個具有影響力的專案,如「產品銷量預測、零件需求預測、產能規劃最佳化」,應用到的方法包括:機
1. Conduct data science projects to help clients drive solutions and solve business problems from various domains using a wide range of data science techniques, including but not limited to Machine learning, data visualization, statistics, and so on. 2. Design, develop and maintain scalable automated machine learning and data science pipelines and applications to empower users to extract valuable results. 3. Build new and enhance existing tools to strengthen the internal toolbox of the Data Science Team. 4. Carry out research on cutting-edge data science techniques, approaches, tools, and application scenarios. 5. Work closely with diverse roles such as data scientists, project managers, product managers, data engineers, web developers, designers to name just a few to scale REAS’s products.
Linker Networks 是一間創立於波士頓的美國創新公司,專注於開發自駕、工安以及公衛醫療領域的AI平台。成立於2013年,由一群對於人工智慧發展充滿熱誠的年輕人組成,我們擁有開放的組織文化以及敏捷的開發團隊,若你也想要一同和我們開創人工智慧的新時代,加入Linker絕對是你的最佳選擇。 ▋What's it like to be a Linker? You will be working with a talented team to build a promising computer vision AI development platform. You will learn from our global clients their pain points and create solutions for them. You'll see how we managed to process tremendous real-world data to build computer vision models and applications for maximal impact. You will have a unique chance here to grow your desired career. ▋What you will do: ▸ Developing deep learning solutions and performance evaluation frameworks according to business project at production-level ▸ Partner with engineers and product managers to build the right application for the business need ▸ Researching on latest DL/ML algorithms or frameworks to find opportunities for growth and efficiency for the data science team ▸ Design and analyze experiments; communicate results and launch decisions ▋What you must have: ▸ MS or Ph.D. in Computer Science, Engineering, Statistics, Operations Research, Mathematics, or other quantitative fields are preferred ▸ Solid understanding of deep learning & machine learning ▸ Familiar with Python ▸ Experienced in cutting edge deep learning models and frameworks PyTorch, Tensorflow, etc. ▸ Willingness to collaborate and communicate with others to solve a problem ▸ Experience of working in a startup is a plus ▋Nice to have: ▸ Familiar with CUDA programming, and distributed computing. ▸ Experience in one of the following topics 3D DL (Point Cloud / Voxels / RGB-D etc.), 3D image geometry, 6D pose estimation. ▋Our Values ❮Adaptive❯ We do our best to plan, but we also understand that keeping up with changes is challenging. Therefore, managing chaos is significant, particularly when growing a business. ❮Agile❯ Hacker spirit is within everyone's blood, not just engineers. We always find ways to unblock obstacles, make things work, and hold ourselves accountable for the result. ❮Teamwork❯ One man alone may have blind spots. That's why we need to team up and rely on each other. ▋面試流程(通過後進入下一階段且皆為遠端面試) Stage 1. Pretest Stage 2. Data Scentist Lead (1h) Stage 4. CTO (1h) Stage 5. CEO (40mins-1h)
工作內容: 1.針對資料清理挖掘分析,從中找出具商業價值的分析洞察 2.建立AI/Machine Learning model,協助解決業務問題 3.透過資料分析方法協助跨部門專案 4.找尋新資料契機,並與既有資料進行整合創造綜效 能力需求 1
一、工作內容: 1、 從不同維度對市場數據以及客戶交易資料,研究並提出創新的量化解決方案。 2、根據既有的交易產品的報價或統計模型進行研究,提供開發者資料模型並據以在系統上實施及改善。 3、對網頁高頻報價數據進行資料探勘及分析。 二、背景期望:
藉由金融成就美好人生 • 加入一個開放、好學、有夢想的團隊,跟志同道合的人一起工作 • 在專業領域嘗試和創造的廣闊空間,親歷金融科技變革的前沿 任職要求: • 資料科學、統計數學、資訊或量化分析相關科系碩士 • 三年以上數據科學相關經驗 • 熟悉
1. 洞察公司營銷/工廠運維的數據,並應用數據挖掘、機器/深度學習、最佳化等等技術,優化產品品質、提升生產效率減少資源的耗用、提升設備的妥善率,並找到問題的根因與最適的生產操控作業。 2. 以智慧製造的策略發展,應用集團內各工廠的生產數據與領域專家合作,制定生產製造所產生的問題,處理相關數據以符合製程的運作,並應用相關的演算法,建立線上即時預測或分析模型,協助工廠解決生產問題的痛點。 3. 協助商業營銷活動的分析,開發應用相關演算法模型進行分析與預測,提升獲利與企業競爭力。 4. 依照環境的現況,設計出最佳的解決方案(e.g. AIoT, Edge/Cloud computing),並做視覺化呈現或告警通知給予使用者最適的業務運作協助。 5. 管理線上模型的生命週期,研究與開發相關演算法,保持模型的預測的效用與運作效率。
期待有想法有衝勁的夥伴能夠加入我們。 (1). 建構數據分析環境,並運用Python分析。 (2). 以機器、深度學習與統計分析等最佳化研究與開發。 (3). 規劃數據模型,進行統計與分析,開發資料視覺化圖表。 (4). 數據研究報告撰寫。 (
挖掘、建模、模式評估等相關工作,並進行模型評估 2. 資料視覺化設計 3. 熟悉預測方法、發展推薦演算法、個人化演算法 4. 爬蟲程式開發,並進行文字探勘
Responsibilities ●Define ML-solvable problems from financial/industrial domains. ●Implement and apply ML models/tools to solve the problems and generate high quality predictions. Skills and Qualifications 1. Master degree in finance/data science related domain or Bachelor's degree in related fields. 2. Good at Python Programming. Code Test is required during interview. 3. Strong Intrest in stock market/futures market. Investment experience is a plus. 4. Basic machine learning knowkedge. Machine learning related working experience is a plus. 5. Good communication skills and team working ability. 6. Responsible for your projects. 7. Experience of gitlab using and code-review is a plus. 8. Work experience in data cleaning/ data analysis is a plus 9. Programming-related working experience is a plus (NOT school projects)
1.透過機器學習最佳化派送流程、運輸路徑、補給路線 2.資料探勘客戶族群、訂單進行統計及分析,開發資料視覺化圖表 3.建構數據分析環境,並運用Python分析 4.具有大數據資料解析、數據洞察能力及良好邏輯分析與程式開發能力 5.能與其他系統開發
development and optimization) 3.進行資料統計分析與視覺化 (Data analysis and data visualization) 4.協助團隊建立及優化及維護系統 (Cooperate with teams on Machine
1. Conduct data science projects to help clients drive solutions and solve business problems from various domains using a wide range of data science techniques, including but not limited to Machine learning, data visualization, statistics, and so on. 2. Design, develop and maintain scalable automated machine learning and data science pipelines and applications to empower users to extract valuable results. 3. Build new and enhance existing tools to strengthen the internal toolbox of the Data Science Team. 4. Carry out research on cutting-edge data science techniques, approaches, tools, and application scenarios. 5. Work closely with diverse roles such as data scientists, project managers, product managers, data engineers, web developers, designers to name just a few to scale MoBagel’s products. *此職務實習生應徵以能長期配合者優先安排
1. Translate business problems into analytical tasks and communicate results back to a business audience 2. Study machine learning / deep learning papers, and have the ability to implement method to real data 3. Collect, process and cleanse raw data from a wide variety of sources 4. Transform and convert unstructured data set into structured data products. 5. Identify, generate, and select modeling features from various data set 6. Train and build machine learning models to meet business goals
Now we are establishing our new Data Science team in Taiwan! All our open positions on 104.com.tw are remote or based or in a yet to be defined co-location workplace! ★Work in Taiwan★ 【Main Duties and Responsibilities】 1. Apply big data analytic technologies to develop cloud native analytic algorithm for structured data, unstructured data, time series data from IoT applications 2. Develop data tracking plan, tracking format on frontend and backend side 3. Develop data visualization, discover actionable insights and put machine learning pipelines into production 4. Work with Data Engineering to keep abreast of data ingestion and data enrichment including first and third party data 5. Apply machine learning algorithms and build predictive models to identify business opportunities such as online advertising and propensity modelling 6. Contribute to company data-driven culture by supporting business strategies with data and communicating results to business units 7. Work with the team to deliver results to the clients in easy-to-understand format
學家/數據科學家 1.與同事一起設計和進行研究,收集數據或追溯可用數據進行分析。 2.確定或收集數據、分析和解釋數據的方法,並報告分析結果。 3.根據回溯的研究結果開發並完成原型。 4.協助將研究成果精進及正式發表。 5.在會議上展示分析
✅ 公司簡介 「騰創數析」係由新零售科技服務之領導廠商騰雲 (股票代號6870),攜手資料科學團隊創代科技共同成立。整合雙方在市場實績、數據資源與分析技術等多元優勢,未來將持續以資料科學為核心,為政府及企業客戶提供專業、創新的應用服務。 我們的
1.協助使用統計、數學或機器學習等方法分析資料 2.演算法設計、開發與驗證 3.Machine Learning & Deep Learning相關新技術研究、開發與應用