Sr. Data Scientist REMOTE 6 month Contract

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Posted 2 days ago United States Salary undisclosed
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Job Description

  • 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
    • Collecting and preparing training data
    • Training supervised and unsupervised models
    • Optimizing model hyperparameters
    • 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:
    • SVM, NaÏve-Bayes, CRF, Binary/Multinomial Logistic Regression, LDA, word2vec, doc2vec
    • Transfer Learning for NLP
  • Strong programming skills required in Python, at least one other language like Java or C++ is desired
  • Tools/Libraries:
    • NumPy, Pandas, Scikit-Learn, NLTK, Gensim, SpaCy, PyTorch, Jupyter Notebooks
    • Transformers
  • Experience with SQL, NoSQL databases
  • Strong cross-platform skills (Linux and Windows)
  • Experience developing software within an Agile product development environment