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WorkFusion // robotic automation software
Engineering, Full Time    New York    Posted: Thursday, April 01, 2021
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About us
At WorkFusion, we build software that is changing the world & transforming workplaces. Our technology automates repetitive, data-intensive work so people can be freed from the mundane to pursue the meaningful, companies can grow further, & customers can be served faster & better. 
WorkFusion is increasingly recognized as the world leader in industry-specific process automation, offering AI-powered software with particular focus on the needs of banking, financial services, & insurance enterprises. Our Intelligent Automation Cloud combines RPA, machine learning & analytics in one unrivaled platform that can be deployed quickly & scale without limit. We compete in the world's fastest-growing software segment & we are growing at record pace with customers spanning the globe. 
As the health & safety of our teams is always a primary concern, we are currently a primarily remote workforce worldwide. Officially, our headquarters is in New York City (on Wall Street) with additional hubs in Canada, Europe & Asia.

WorkFusion is looking for a Lead Data Scientist to join our NYC team in building exciting new automation capability through design & implementation of cutting-edge AI. This position requires a data scientist with a deep understanding of Machine Learning techniques & hands-on experience applying them to solve business problems. 
       Master's degree in computer science, computational linguistics, computer vision or related field or equivalent professional experience 
       5+ years hands-on experience with natural language processing, computer vision 
       2+ years of team leadership experience 
       Fluency with Python, Numpy and Pandas 
       Experience applying Regression, Classification, Clustering  
       Experience with Deep Learning approaches (CNN, RNN, GAN, POS, BERT, Stanford CoreNLP, Spacy) 
       Working knowledge of Tensorflow, Keras, or PyTorch 
       Expertise in data analysis, classical machine learning  
       Experienced in applying Scikit-learn / TPOT  
       Experience with AutoML frameworks like H2O Driverless ai are a plus 
       Familiarity & proficiency with agile methods & tools to support project management in a timeline sensitive environment 
       Strong written & verbal technical communication skills

Nice to have 
       Experience with Transfer Learning & Federated Learning 
       Experience with AutoML (Neural Architecture Search)  

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