对应专业:Stat., Mach. Learning, Data Analytics, Math., Ops. Research, Eng., IT, or related
所需培训:N
培训时长:
所需培训领域:
前置经验:N
经验时长（月）:
替代领域学历:N
替代专业:
可替代教育及经验组合:Y
所需教育层级:Bachelor's
其他可替代教育层级:
认可经验年限:5
境外教育背景:Y
可替代职业:Y
可替代职业时长（月）:36
可替代职业名称:Any data scientist position in the financial services industry
是否为正常职业要求:N
是否需要外语:N
特殊技能:Masters degree in Statistics, Machine Learning, Data Analytics, Mathematics, Operations Research, Engineering, Information Technology, or related field plus 3 years of experience in any data scientist position in the financial services industry. 3 years of experience extracting and manipulating data, building feature engineering pipelines using multiple database technologies such as MySQL Server and Hadoop. 3 years of experience with data scripting languages e.g., SQL, Python, R or statisticalmathematical software e.g., R, SAS, or Matlab. Demonstrated experience working on projects involving large scale, multidimensional databases, complex business infrastructure, and crossfunctional teams. Demonstrated ability to work with relational databases, write SQL scripts, and set up data pipelines for moving and processing large amounts of data. Demonstrated experience developing supervised and unsupervised machine learning algorithms e.g., regression, decision treesrandom forest, neural networks, NLP, feature selectionreduction, clustering, parameter tuning, etc.. Demonstrated understanding of common families of models, feature engineering, feature selection, and practical machine learning issues. Demonstrated understanding of techniques to build explainable artificial intelligencemachine learning solutions to ensure compliance in the highly regulated lending industry. In lieu of a Masters degree and 3 years of experience, employer will accept a Bachelors degree in Statistics, Machine Learning, Data Analytics, Mathematics, Operations Research, Engineering, Information Technology, or related field plus 5 years of experience in the requirements listed above.