Role Data Scientist -NLP Basic Qualifications 2 years of experience in data science with a focus on Natural Language Processing NLP and text data analysis Proficiency in NLP techniques such as tokenization lemmatization part-of-speech tagging named entity recognition NER sentiment analysis and language modeling Strong expertise in machine learning algorithms including supervised and unsupervised learning e g classification clustering dimensionality reduction Solid experience in programming languages like Python R or Java with deep knowledge of NLP libraries e g spaCy NLTK Transformers Gensim Hugging Face Experience working with deep learning frameworks e g TensorFlow PyTorch for NLP model development training and fine-tuning Familiarity with cloud computing environments particularly Google Cloud Platform GCP or AWS for scaling machine learning models Strong understanding of data preprocessing text vectorization e g TF-IDF Word2Vec BERT embeddings and feature engineering for NLP tasks Expertise in SQL and experience working with structured and unstructured data from diverse sources Strong problem-solving skills with the ability to work independently and innovate based on business needs and data insights Proven ability to collaborate with cross-functional teams including engineering and business teams to translate business objectives into data-driven solutions Preferred Qualifications Degree in Computer Science Data Science Statistics Mathematics or a related field or equivalent work experience Hands-on experience with transformer-based models e g BERT GPT T5 RoBERTa for NLP tasks like text classification summarization translation and generation Expertise in text mining and experience with large-scale text data processing and analysis Experience with advanced data visualization techniques and tools such as Tableau Matplotlib Seaborn or Plotly for presenting NLP model insights Knowledge of NLP deployment strategies and frameworks e g FastAPI Flask ONNX for serving machine learning models in production environments Familiarity with knowledge graphs semantic search and information retrieval techniques for enhancing NLP applications Experience in optimizing and fine-tuning NLP models for performance scalability and efficiency in real-world applications Understanding of data privacy security and ethical implications of using NLP in production systems A passion for staying up-to-date with the latest research and advancements in NLP and AI Strong communication skills with the ability to effectively present technical findings and insights to both technical and non-technical stakeholders Ability to thrive in an Agile setting collaborating across teams iterating quickly and adapting to new challenges

📌 Lead Assistant Manager (Haryana)
🏢 EXL Service
📍 Haryana