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WorkFusion // robotic automation software
 
Engineering, Full Time    New York    Posted: Tuesday, March 17, 2020
 
   
 
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JOB DETAILS
 
About us
At WorkFusion, we're building software products that are changing the world & transforming the workplace, for the better. Our technology automates data intensive repetitive work so people can be freed from the mundane to pursue the meaningful, while companies can grow further & customers can be served faster & better.
 
WorkFusion is widely recognized as the world leader in intelligent process automation with its Intelligent Automation Cloud which combines RPA, machine learning & work analytics in one unrivaled platform that is easy to deploy & unlimited to scale. We compete in the fastest growing segment in software & are growing at record pace with customers spanning the globe. Our headquarters are in New York City (on Wall Street) with operations all over the world.

Our teams are dedicated to building & marketing AI-powered software for all business types, ranging from high growth startups to large enterprises with particular focus on banking, insurance, healthcare, retail, consumer products, energy, high-tech & transportation. 

Position
WorkFusion is looking for a skilled Senior 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 and hands-on experience applying them to solve business problems. 
 
At WorkFusion, we apply machine learning & statistical techniques to classify & extract relevant information from vast amounts of structured & unstructured documents. This role encompasses data acquisition, feature engineering, model development and experimentation. An objective, data-driven approach to experimentation, combined with the ability to fit research to business objectives are key to success. 
 
In addition to active teamwork within our talented data science team; this role requires collaboration with Data Analysts, Professional Services, Product & other business stakeholders. 
 
This role presents the unique opportunity to apply machine learning & achieving tangible business outcomes while learning & growing professionally with a cross-cultural & talented Data Science team. 
 
Key responsibilities 
       Translating business requirements into ML model specifications 
       Collect, clean & study data 
       Design & conduct experiments 
       Design feature extractors, post-processors and other ML transforms as necessary 
       Design models & ML architectures, implement training, testing & collect metrics 
       Infer results from metrics & create visualizations 
       Present results to stakeholders 
       Build or extend machine learning frameworks as necessary 
       Troubleshoot customer problems related to WorkFusion's AutoML framework 
       Support professional services engagements by implementing custom solutions 
       Research applicable Machine Learning techniques by reading latest academic papers, attending conferences & interacting with peers in the ML community 
       Follow ML best practices 
       Work with Engineering to help integrate latest research models into production environments 

Qualifications/Experience 
       Master's degree in Computer Science, Math or Physics with 3 years of professional work experience involving Machine Learning OR
       PhD in Machine Learning or related area with 1-year professional work experience 
       Expertise in classical machine learning 
       Regression, Classification, Clustering 
       Decision Tree, Random Forest, SVM, Nave Bayes 
       Strong background in applied math, statistics & probability (Descriptive & Inferential Statistics, Bayesian Methods, Hypothesis Testing, Time Series, Statistical modeling)
       Familiarity with Deep Learning approaches (CNN, RNN, GAN, NLP: NER, POS, BERT, Stanford CoreNLP, Spacy)
       Fluency with Python, Numpy and Pandas
       Experienced in applying Scikit-learn / TPOT 
       Working knowledge of Tensorflow, Keras or PyTorch
       Experience with AutoML frameworks like H2O Driverless ai are a plus
       Java programming skills are a plus 
 
 
 
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