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.
What is a Data Scientist?
As a Data Scientist at KKCompany, you will be responsible for designing, developing, and executing scientific research projects and data models to improve the performance of our streaming quality and service.
You will work closely with analytic partners, domain experts, and other stakeholders to analyze complex datasets and make data-driven decisions that drive business growth.
The ideal candidate will have deep expertise in at least one scientific discipline that applies to KKCompany’s business challenges, as well as a broad knowledge of data structures and algorithms. They will understand algorithmic and implementation trade-offs and be able to effectively communicate their findings to a wide range of stakeholders.
Key Responsibilities:Drive the design, development, and execution of scientific research projects and data modelsImplement models and algorithms to improve the performance of existing systems, processes, and productsPerform data analysis and provide visualizations to support decision-makingAnalyze complex datasets used to make decisions regarding real-world applicationsUse modeling, simulation, and optimization to design processes, algorithms, and prediction/classification systemsInvestigate the applicability of new approaches to business problems and products by combining theory and experimentationWrite software code that is built and deployed in production systemsSolve analysis problems that improve KKCompany’s products and advance our scientific knowledgeQuantify business impact and influence go/no-go decisions on corporate initiatives
Requirements:Have the technical competence to perform advanced analytics: coding skills (such as Python, Java, and Scala) and experience performing analysis with large datasets, analytics tools experience (Pandas, R, SQL, or Hadoop)Have the ability to condense analysis into actionable insights to inform business decisions and influence; understand business models and high-level strategy.Possess statistical competence; demonstrated experience with hands-on statistical modeling (such as regression modeling, a/b testing, significance testing etc), knowledge about machine learning (such as predictive modeling, decision trees, classification models, and clustering techniques)
Nice to Have:Operating experience designing, integrating, and visualizing data reports using analytic tools like Amplitude, Mixpanel, or Firebase.