Data Scientist - W2 ONLY

W2 ONLY F2F Interview is MUST Title: Data Scientist with NLP and LangGraph Location: Plano, TX (On-site) Duration: 12 Months+ Job Description: • 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 • Both positions require hands on experience with Agentic framework Analytical & Problem-Solving Skills • Workflow Optimization: Ability to identify bottlenecks in graph-based agent flows and optimize for performance and reliability. • Data Handling: Experience with data preprocessing, postprocessing, and evaluation of AI-generated outputs. • Evaluation: Design and interpret experiments to evaluate NLP models in a telecom context, including error analysis and business impact assessment. • Statistical Analysis: Strong understanding of statistics and probability as applied to telecom service quality and customer experience.