Job Description :

Role: Senior Data Scientist
Client Location: Herndon, VA (remote is okay; preference for NoVa/DC area)
Contract: 6-months | 40 hours a week
Targeted Start: June 2021
Work Authorization: US Citizen preferred (Open to H1B for the right candidate)
Core Work Hours: Flexible

•    MS or PhD in Computer Science, or related field or experience
•    6+ years of information extraction, NLP, statistical data analysis and predictive modeling
•    3+ years’ experience developing commercial software products
•    Implementing and deploying standard NLP systems for text classification, entity extraction, sentiment analysis, etc.  with extensive experience in
o    Collecting and preparing training data
o    Training supervised and unsupervised models
o    Optimizing model hyperparameters 
o    Analyzing errors for machine learning models
•    Real-world application of deep learning to train NLP models
•    Design, develop and evaluate machine learning models suitable for text analytics tasks such as extraction, disambiguation and classification
•    Contribute to the design of solutions that fit the business problem, may include custom algorithm development
•    Develop new features for existing products, implement proof of concept and prototypes
•    Work closely with product development teams and product stakeholders following an Agile product development methodology
•    Effectively communicate with fellow technologists and other stakeholders
Knowledge, Skills, and Tech: 
•    Non-trivial project experience in text analysis, information extraction, entity extraction, machine learning and natural language processing
•    Strong working knowledge of Bayesian Statistics, Supervised and Unsupervised Machine Learning, and Deep Learning
•    Experience building models with at least one of the following techniques/tools: 
o    SVM, Naïve-Bayes, CRF, Binary/Multinomial Logistic Regression, LDA, word2vec, doc2vec
o    Transfer Learning for NLP
•    Strong programming skills required in Python, at least one other language like Java or C++ is desired
•    Tools/Libraries:
o    NumPy, Pandas, Scikit-Learn, NLTK, Gensim, SpaCy, PyTorch, Jupyter Notebooks
o    Transformers
•    Experience with SQL, NoSQL databases 
•    Strong cross-platform skills (Linux and Windows)
•    Experience developing software within an Agile product development environment


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