Job Description :
Data Scientist (AI/ML/NLP)
Job Location: Plano, TX
Job Duration: 6 months + Contract to Hire convert to FTE
Phone Then Skype
Only GC OR USC
Client is currently seeking a Lead consultant: AI/ML/NLP with our client in the financial industry in their Plano, TX location. This is a 6 month + contract to hire position.
Position Summary
Create Advanced OCR and Cognitive Data Extraction capability as well as its execution.
Responsible for Cognitive extraction, technology delivery and operating model setup
Develop innovative solutions in areas such as machine learning, computational linguistics, Natural Language Processing (NLP), advanced and semantic information search, extraction, induction, classification and exploration.
Develop & maintain ML & NLP Pipeline for Document Data Extraction
Create products that provide a great user experience along with high performance, security, quality, and stability.
Required Skills
5+ years of professional experience as a data scientist or related roles
Knowledge of Text Analytics with a strong understanding of ML & NLP algorithms and models (GLMs, SVM, PCA, NB, Clustering, DTs) and their underlying computational and probabilistic statistics.
At least 3 years programming experience in one or more of the following: Python, R, Scala. Preferably in Python and Jupyter/IPython Notebook.
Experience in setting up supervised & unsupervised learning ML/NLP models including data cleaning, data analytics, feature creation, model selection & ensemble methods, performance metrics & visualization
At least 2 years experience in ML/NLP development pipelines of large data sets, both structured & unstructured
At least 2 years experience building Machine Learning & NLP solutions over open source platforms such as SciKit-Learn,Tensorflow, SparkML, Torch, Caffe, H2O
Excellent knowledge and demonstrable experience in using open source NLP packages such as NLTK, Word2Vec, SpaCy, Gensim, Standford CoreNLP.
At least 2 years experience in designing and developing enterprise-scale NLP solutions in one or more of: Named Entity Recognition, Document Classification, Document Summarization, Topic Modelling, Dialog Systems, Sentiment Analysis, OCR text processing
NON-TECHNICAL SKILLS
Collaborating with a diverse set of partners and stakeholders from various Line of Business.
Highly motivated, proactive and a self-starter; strong sense of ownership & ability to create and execute plans without daily oversight
Critical thinker; ability to analyze problems and identify issues and provide solutions
Ability to navigate the enterprise & data assets across multiple functions
Highly organized. Effectively prioritizes and balances multiple efforts in a fast-paced environment
Excellent communication and Presentation skills
Analytical abilities & great problem solving
Client focused
Team building