Overview
On Site
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - 12 Month(s)
Skills
Apache Hadoop
Apache Spark
BERT
Deep Learning
Microsoft Azure
Jupyter
Keras
Named-Entity Recognition (NER)
Natural Language Processing
Python
PyTorch
NLTK
Job Details
Position: Data Scientist with Gen AI
Location: Plano, TX (Day 1 Onsite)
Duration: Long Term
Role Summary:
- 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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