Data Scientist (NLP Focus)

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - 1 Year(s)

Skills

Jupyter notebooks
NLTK
spaCy
Gensim
Hugging Face Transformers
and Scikit-learn

Job Details

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Data Scientist (NLP Focus)
Core Technical Skills
Programming Languages: Advanced proficiency in Python (preferred) and/or R; experience with Jupyter notebooks.
NLP Libraries & Frameworks: Strong hands-on experience with NLTK, spaCy, Gensim, Hugging Face Transformers, and Scikit-learn.
Text Preprocessing: Expertise in processing noisy, unstructured text from various data sources
Domain-Specific NLP: Familiarity with entity recognition, intent detection, and text classification
Machine Learning: Solid foundation in supervised and unsupervised learning, with applications to telecom problems (e.g., anomaly detection, predictive maintenance, customer segmentation).
Deep Learning for NLP: Experience with deep learning frameworks (TensorFlow, PyTorch, Keras) for advanced NLP tasks (LSTM, Transformers, BERT, GPT).
Data Handling: Proficient in handling large-scale, high-velocity telecom datasets; experience with distributed data processing (Spark, Hadoop) is a plus.
Evaluation: Design and interpret experiments to evaluate NLP models, including error analysis and business impact assessment.
Statistical Analysis: Strong understanding of statistics and probability as applied to telecom service quality and customer experience.
Azure experience preferred

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