AI Solution Specialist (Data Scientist)

Updated about 1 month ago

Job Description

Are you eager to have lots of opportunities to communicate with well-known Japanese clients and familiarize your business Japanese?

Do you enjoy coordinating with internal and external clients to ensure the high quality and feasibility of the product?

Do you thrive in a fast-growth environment where you can not only analyze data, but also cultivate a comprehensive business mindset to accelerate your Engineering Career?

If you answered YES… then you would be a good fit for the AI Solution Specialist (Data Scientist) position with Cinnamon AI!

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As an AI Solution Specialist (Data Scientist), we expect you to use a mix of mature technical expertise, fluent JP and EN business communication skill, leadership experience, and logical reasoning ability of business to effectively integrate AI technology/solution into our clients' business and achieve business goals.

工作內容|Responsibilities

1. Technology Development (main business)

  • Develop client data models and algorithms to apply to data sets.
  • Predictive modelling to increase and optimize client experiences, revenue generation and other business outcomes.


2. Requirements Definition & Solution Proposal (main business)

  • Boosting client experience by figuring out what their true Goals, Expectations Hidden Requirements are, and make it a reality while considering the technical difficulties
  • Identify opportunities for leveraging company data to drive and propose business solutions
  • Mine and analyze data from company databases to drive optimisation and improvement of product development, marketing techniques and business strategies.


3. Alignment of Technology and Strategic Management

  • Cooperate with Project Tech Lead and overseas developers to implement AI technology in projects and products to achieve high quality and meet client needs
  • Manage project and product progress effectively to stick to the delivery schedule

Requirements

必備條件|Qualifications

  • Excellent level of spoken/reading Japanese.
    Please provide any information that can prove your ability in English and Japanese in your resume,for example:


    ・Record a 3 minutes self introduction in Japanese
    ・Have lived in Japan for years and got no language issues
    ・Attended to senior high school or university in Japan
  • Achievements in Mathematics / Computer Science / Physics / Economics / Engineering / Statistics / Operations Research / Quantitative Social Science, etc. related technical domains
  • Proficiency with both Python and R.
  • Familiar with statistical modeling software, such as but not limited to SQL databases, Hadoop platform.
  • Knowledge of Cloud technologies such as AWS or Google Knowledge of any relational database such as My SQL.
  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  • Knowledge of a variety of machine learning techniques
  • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
  • Ability to visualize/present data for stakeholders; may be using but not limited to: Periscope, Business Objects, D3, ggplot, Tabulo etc.
  • Ability to work independently and with team members from different backgrounds.
  • Communication skills that enable business development teams to inconsistently discuss complex concepts

加分條件|Preferred Qualifications

  • Have high achievements in Data Science / Computer Science / AI / Machine Learning related technical domains (Ph.D, peer-reviewed papers, presentations at international conferences, etc.)
  • Proficiency in one or more than one programming languages except Python (C/C++, Java, Golang)
  • Knowledge of standard software development process
  • Experience with research team management
  • Experience working with Japanese clients and datasets
  • Furthermore, those who have worked on the following things as much as possible are very suitable for this position
    • Data analysis using statistical libraries and visualization tools such as scipy, pandas, matplotlib, seaborn, etc.
    • Master the database and DataFrame. Using frameworks such as pandas, dask, and modin to handle data from small to large scale
    • Experience of ML on a production scale, such as data pre-processing, training, on-premises and cloud service provision
    • A wealth of experience in classification, clustering, regression, and correlation analysis
    • Experience in large-scale data processing for both structured and unstructured data-Experience in parallel processing

Please attach your English resume for review

Interview process

與台灣工程師進行技術面試 → 與日籍主管面試 → 最終面試

完全遠端面試:因應疫情,為了守護彼此的健康,面試全程線上進行。

1
70K ~ 180K TWD / month
Managing staff numbers: not specified
Optional Remote Work
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About us

Cinnamon AI Taiwan Inc. 是一間來自日本的AI新創公司!總部位於日本東京,並在台灣、越南等地設有營業據點或研發中心,員工總計約160人,AI 方面的專業人才超過80位!目標在2022年擴展到500位 AI 專業人才,成為「世界第一的商用 AI 公司」。

Cinnamon AI Taiwan Inc. 同時是日本 Sony 投資的第一間 AI 新創公司,也被 Forbes 雜誌選為2018年25個值得觀察的Machine Learning 新創公司!更在今年1月完成 B 輪融資募得約1500萬美元的資金。

我們的使命是:解決繁複作業,「釋放」人類潛能!因此我們聚焦於辦公場景,以文字辨識與語音辨識等技術為主,為白領階級打造能提升工作效率的最佳產品!

Cinnamon AI 有三個主要的核心價值:

#GRIT 堅毅力
我們充滿熱情,面對困難以努力堅持來面對,不輕言放棄!

#Stretch Yourself
我們具有遠大目標,使我們能不斷得快速成長!

#Leadership: Driven Teamwork
我們都是領導者,從自身的影響力出發促成團隊合作!



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