Data Scientist

Taipei

Applications have closed

KKCompany

頂尖跨國科技集團科科科技 KKCompany Technologies 為軟體服務領航者,以「多媒體串流、數位雲端、AI 應用」為技術與事業發展核心、為客戶創造價值的國際軟體科技集團。旗下包含 KKBOX、BlendVision、Going Cloud 等自有產品品牌,企業客戶遍佈全亞洲。

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Asia’s leading technology group, KKCompany Technologies (KKCompany), is a leader in software services. Our mission is to build “Freeways to Inspiration” and help industries achieve digital transformation. By creating technology highways with partners, we deliver our services around the world and drive value creation through future technology.
In addition to our flagship brands KKBOX, KKStream, and Going Cloud, our core technologies cover various fields such as music streaming, multimedia, and cloud services. Through a range of products and services, we help customers create commercial value. We also offer software services and solutions to over tens of millions of customers with corporate clients across Asia covering various industries such as telecommunications, entertainment and multimedia, media, education, and fitness centers.
We have over 500 employees across offices in Tokyo, Singapore, Taipei, Kaohsiung, and Hong Kong.
Our Tech Stack- Python, and data related library, eg. Spark, Flink, etc.- AWS tools, eg. Glue, MWAA, SageMaker, Personalize, etc.- DataBricks- Gitlab

Responsibilities:

  • Build up and maintain customized end to end data & AI projects, including data pipeline, models, mlops, etc.
  • Collaborate closely with developers, product owners, and designers to build a new project.
  • Improve code maintainability.
  • Willing to grow with team members.
  • Adaptively learning new skillsets for business needs.

Requirements:

  • Experience in data engineering, machine learning and data analyst
  • 3 years+ experience in python programming with data-related library, eg. Pandas, Numpy, Spark, AWS Glue etc.
  • Understand the domain know-how of the retail industry

Nice to Have:

  • Experience in AWS data & AI services.
  • Experience in information security area
  • Experience in recommendation system design and implementation
  • Experience in CV 
  • Experience in DataOps, MLOps
  • Basic knowledge about design principles, eg. SOLID, clean architecture, refactoring, etc.
  • Experience in unit testing, integration testing, E2E testing.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Architecture AWS AWS Glue Databricks DataOps Engineering Flink GitLab Machine Learning MLOps NumPy Pandas Python SageMaker Security Spark Streaming Testing

Region: Asia/Pacific
Country: Taiwan
Job stats:  25  5  0
Category: Data Science Jobs

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