KKLab is an innovation research and development solutions provider and venture builder.
We design and engineer digital cloud transformation, system integration and technical infrastructure.
We develop AI, machine learning and data management solutions. We innovate, incubate and accelerate new ventures and emerging technologies.
Responsibilities:
1.Define quantitative measurement for qualitative goals
2.Drive complex analytics projects from loosely defined questions to actionable insight.
3.Utilizing statistical or machine learning methods to perform predictive analytics.
4.Utilizing existing technologies to explain predictive analytics results in production environment.
5.Work closely with cross-functional teams of analysts, product owners, marketers, designers, and others to identify opportunities for leveraging data to drive business solutions
1.Strong problem solving skills Deep understanding of numbers, as well as a strong business sense.
2.Familiar with various machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
3.Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
4.Excellent written and verbal communication skills for coordinating across teams.
5.Experience using statistical computer languages and tools such as Scala, R, Python, SQL, Spark, etc Experience with audio signal processing is a plus
Nice to have:
1.Experience in REST API development is a plus Intellectual curiosity, critical thinking, and the ability to solve complex problems that may not always be well-defined.
2.A deep understanding of numbers, as well as a strong business sense.
3.Strong problem solving skills emphasize on product development. A drive to learn and master new technology and technique
Taiwan, 台北市松山區敦化北路122號5 樓
KKLab is a venture studio, formed by 30 data scientists & venture technologists. We seek joint-ventures with influential experts to demystify machine learning necessary to building valuable business. We work hybrid - 4 days WFH and 1 day IRL. If you are interested in building future businesses rooted in purpose, we want to get to know you.