Job Description


    • Perform data cleaning and exploratory data analysis noisy user behaviors, marketing, content, and geospatial data to address tough business questions; translate complex findings and results into a compelling narrative
    • Investigate Migo's user behavior data to identify high-customer-impact problems around Migo’s core user experience; propose solutions and test hypotheses in an iterative cycle to understand the voice of customers in emerging markets
    • 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.
    • Interpret Migo's operational data to identify high-customer-impact problems, propose solutions, and test hypotheses in an iterative cycle. 
    • 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.
    • Collaborate daily on our product and business strategy with teams across the organization 


Key Qualifications
• 3+ years’ full-time work 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. 
• Comfortable using computer programming languages and data warehousing tools to define and build statistical models for identification, estimation, and prediction. 
o Practical experience in SQL on RDBMS or NoSQL environment
o Working knowledge of at least one modeling framework such as Python (numpy,
pandas, scikit-learn, TensorFlow, Pytorch, etc.), R (Tidyverse and common
statistical packages), Matlab, etc.
o Experienced in manipulate large data set and exploratory data analysis with data visualization technology such as Tableau, ggplot and D3.js.
• Proficient in discrete multivariate stochastic process, statistical inference and analysis. 
• Can translate user requirements into a functional model and interpret predictive models to non-technical stakeholders 
• Experience using a data-driven approach in at least one of the following fields: marketing, sales, media, gaming, studio production, or user experience.
• (Plus)Practical experience in building production level deep learning models using AI framework such using one or more including but not limiting to the following edge inference open source projects. i.e. TensorFlow, Caffe/2, Mxnet, and Android NNAPI.
• (Plus) Practical experience in measurement of offline advertising, geospatial analytics, or retail network optimization


1.2M ~ 1.8M TWD/year

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Migo 熱鬧點科技

12F No. 438, Guangfu S. Rd., Da'an District, Taipei, Taiwan 106

About us

Bridge the Digital Divide for 3 billion mass market consumers in emerging markets

成為一個創新者吧!在Migo,我們擁抱改變,渴望尋找更好、更有效的解決方案。我們相信創新來自於不斷地挑戰自己,在migo我們常常問自己"How could we?"持續學習與成長。你的硬實力將幫助我們解決目前的問題,你的潛力將與我們一起創造Migo的未來。



Yi-Chieh Chen
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