Über
Charlotte, NC Technical Requirements
3+ years' work experience in predictive analytics, machine learning space Data Analysis – Understanding and analyzing large, complex, multi-dimensional datasets and build/enhance data science features relevant for unique client business and data profile 2+ years Statistical modelling, validation of Client algorithm and performance tuning of models Data Wrangling 2+ years' experience in transactional anomaly prediction, operational risk modelling or other financial services functional area Proficiency with Python and the ability to write production-ready code Big data experience. Working knowledge of Spark, Hadoop Excellent understanding of theoretical and applied machine learning Working knowledge SQL or other relational database solutions Effective Solution Design and Comprehension –
Application architecture Data architectures Infrastructure
Primary – On-premise private cloud and standalone Big Data infrastructure. Secondary – Cloud – AWS, MS, other Secondary – Large financial service legacy environment
Job Perks
Attractive variable compensation package Flexible working hours – everything is results-oriented Opportunity to work with an award-winning organization in the hottest space in tech – artificial intelligence and advanced machine learning
Sprachkenntnisse
- English
Hinweis für Nutzer
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