Migo’s Data Science Team將負責建構數據分析工具，幫助Migo各部門解決各種複雜的問題，提供business insight並根據數據做決策。Data Science Team 透過敏捷式開發各種跨部門專案，如果你喜歡步調快、變化多端的工作環境，不僅握有一身專業更期待自己成為跨領域人才，有滿滿的學習能量，歡迎加入我們！
o Perform data cleaning and exploratory data analysis to make sense and find patterns under noisy user behaviors, business and engineering performance data.
o Build and use the analytical tools needed to deal with massive data sets to uncover important business insights through statistical analysis, machine learning and AI techniques.
o Interpret Migo's operational data to identify high-customer-impact problems, propose solutions, and test hypotheses in an iterative cycle.
o Collaborate with internal stakeholders to understand business requirements, work with cross-functional product teams and leads the end-to-end development of data products such as recommendation systems and business intelligence dashboards.
o Collaborate daily on our product and business strategy with teams across the organization
o Develop a global perspective on innovation, build your expertise across various industries, and build a three-dimensional understanding of the current and future emerging market context.
o 2-5 years’ full-time working experience, with a Master's degree in one of the following fields: Machine Learning, Engineering, Applied Mathematics, Applied Physics, Computer Science, Statistics, Economics, or Quantitative Finance.
o Comfortable using computer programming languages and data warehousing tools to define and build statistical models for identification, estimation, and prediction.
• Practical experience in SQL on RDBMS or NoSQL environment
• Working knowledge of at least one modeling framework (e.g, Python Scikit Learn, TensorFlow, R, Matlab, etc.)
• Experienced in manipulate large data set and exploratory data analysis with data visualization technology such as Tableau, ggplot and D3.js.
o Proficient in discrete multivariate stochastic process, statistical inference and analysis.
o Can translate user requirements into a functional model and interpret predictive models.
o Proficient in practical machine learning algorithms, such as recommendation systems, pattern recognition, computer vision, etc.
o Practical/academic experience in machine learning, digital signal processing, or complex statistical/stochastic modeling.
o Experience using a data-driven approach in at least one of the following fields: marketing, sales, media, gaming, studio production, or user experience design.
o Practical experience in building production level deep learning models using AI framework such as TensorFlow, Keras, etc.
【Please be noted】: * The earliest start date will be in late Q2*
Location: Taipei, Taiwan (20% travel, regional)
We care about helping Imagineers stay happy, healthy, and fulfilled, so we can all maximize our potential. That includes generous health and labor insurance, company issues hardware, flexible vacation leaves, and regular opportunities to have fun and celebrate.
Our Number One Benefit
The number one benefit at Migo is the limitless opportunity for growth we give each Imagineer.
Imagineers at Migo are working on a first-in-the-world service and technology that is big enough to change the lives of billions of underserved people in the world.
We have a structured approach to development that will help Imagineers grow beyond their perceived limitations. We are committed to providing the resources our Imagineers need to be at their best, not just in Taiwan, but globally.