KKSTREAM

Applied Data Science Lead

Taipei / KKStream - DS/ML / Permanent

The role is to lead the team to work to turn business questions and customer requests into data analysis effectively and provide meaningful recommendations. This is a unique hybrid role that will focus on your knowledge of data infrastructure and ability to distill insights into actionable items as well as producize AI-powered products and solutions. 
 
- Utilize your entrepreneurial spirit to identify new opportunities to optimize business processes and improve consumer experiences, and prototype solutions to demonstrate value with a crawl, walk, run mindset.
- Are skilled at operating in a complex, cross-functional organization or company where collaboration and integration with other teams across multiple disciplines is essential to the success of your team.
- Architect, build, maintain, and improve new and existing suite of algorithms and their underlying systems.
- Implement end-to-end solutions for batch and real-time algorithms along with requisite tooling around monitoring, logging, automated testing, performance testing, and A/B testing.
- Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation.
- Write efficient and well-organized software to ship products in an iterative, continual-release environment.
- Work closely with data scientists and analysts to create and deploy new product features.
- Contribute to and promote good software engineering practices across the team.
- Knowledge sharing with the team to adopt best practices.
- Actively contribute to and re-use community best practices.
- Create an engaging work environment and culture that encourages innovation and product solution execution as well team member well-beings.

Key Authority

  • Develop and validate models.
  • Set department objectives.
  • Hire, promote, motivate, train and incentivize the team.
  • Find and implement new technologies.
  • Basic Qualification

  • University or advanced degree in engineering, computer science, mathematics, or a related field.5+ years experience developing and deploying machine learning systems into production.
  • Strong experience working with a variety of relational SQL and NoSQL databases.
  • Strong experience working with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with at least one cloud provider solution (AWS, GCP, Azure),Strong experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc,Strong knowledge of data pipeline and workflow management tools.
  • Industry experience building innovative end-to-end Machine Learning systems.
  • Ability to quickly prototype ideas and solve complex problems by adapting creative approaches.
  • Experience working with distributed systems, service-oriented architectures and designing APIs.
  • Ability to work in a Linux environment.
  • Expertise in standard software engineering methodology, e.g. unit testing, test automation, continuous integration, code reviews, design documentation,Relevant working experience with Docker and Kubernetes is a big plus.
  • Preferred Qualification

  • Fluent in English and Mandarin
  • Experience in shipping large scale AI-based product or solutions
  • Apply Now

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