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
Required:
• 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
Responsibilities:
• 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