Data Scientist
- Create data science solutions to address a variety of business challenges that can be translated to supervised and/ or unsupervised learning problems using statistical and machine learning models - Participate in monitoring and evaluation of performance of existing models - Develop advanced quantitative models and concepts, such as LTV models, churn models, and recommendation engines - Collaborate with global teams of developers, traders and product developers to better understand business requirements and deliver end product to the clients - Implement and test the researched fixed income models using the risk research data - Liabilities and probabilities calculation公司地址:
台北市中正區杭州南路一段15-1號16F其他:
- Ability to come up with sound research designs and make methodological choices to address business problems with appropriate statistical and machine learning models - 2+ years of experience as a data scientist, quantitative researcher, quantitative analyst or another relevant role - Degree in Applied Mathematics, Computer Science, Financial Engineering, Technology or Engineering - Knowledge of probability theory, inferential statistics, machine learning, Bayesian statistics, linear algebra, and numerical methods - Experience with statistical and machine learning models, such as regression-based models (e.g., logistic regression, linear regression, negative binomial regression), tree-based models (e.g., random forests), support vector machines, PCA, clustering models, matrix factorization, deep learning, etc - Experience using statistical and machine learning models to contribute to company growth efforts, impacting revenue and other key business outcomes - Advanced understanding of Python and the quantitative analysis ecosystem in Python - Knowledge of SQL and experience with relational databases - Agile, action-oriente Nice to have - Apache Spark - Experience working in cloud platforms (AWS, GCP, Microsoft Azure) - Relevant knowledge or experience in the gaming industry - Solid computer science background-2024-09-17