Senior Data Scientist II- NLP

Job Description

We are seeking a skilled and experienced Senior Data Scientist (NLP) to join our growing team. The ideal candidate should have a strong foundation in Natural Language Processing (NLP) . He/she will be responsible for applying advanced data science techniques, build machine learning models that deliver business insights. This role requires a passion for learning and applying cutting-edge technologies in Generative AI for NLP tasks and deliver projects that exceed client expectations. Key Responsibilities Advanced AI/ML/GenAI Implementation: Build production grade machine learning models and ensure proper integration with business applications and systems. Client Engagement: Ensure high levels of client satisfaction through taking ownerships, excellent communication, impactful delivery, and strong stakeholder management. Exhibit consulting approach: Use consultative communication style, to be open to ask relevant questions when requirements/requests are not clear and possess an ability to evaluate the necessity and relevance of tasks and suggest improvements appropriately Cross-functional Collaboration: Work closely with data engineering, product, and business teams to align on objectives, achieve common goals, and show proactiveness to contribute more with knowledge and capacity. Version control: Follow Git/Azure-DevOps best practices, including understanding and applying branching strategies Domain Adaptation: Apply data science methodologies across different industries and domains, with a willingness to quickly learn and adapt to new industries or sectors. Testing & Quality Assurance: Ensure the quality and reliability of models through rigorous testing and validation. Attention to Detail: Demonstrate strong attention to detail towards model validation, data processing, and analysis tasks. Mandatory Skills Professional experience: Minimum 4+ years of total experience in data science, with at least 2+ years specifically in NLP . NLP Expertise: Proven experience with text classification , sentiment analysis , and topic modeling , using both traditional NLP techniques and advanced approaches, including Generative AI (GenAI) At least 1+ year of experience working with Python including libraries specific to analyse & manipulate large datasets, implement statistical models, and ensure high-quality data processing Machine Learning: Deep knowledge of ML models & algorithms, aptly deciding which models and techniques to use and why, and suggest additional measures to optimize/improve existing solutions Version Control: Hands-on experience with Git/Azure-DevOps and understanding of branching strategies for collaborative development. Excellent communication skills Nice to Have Skills: Familiarity with the Azure environment and Databricks for building and deploying scalable data pipelines and models. Working knowledge of SQL Skills & Qualification: Education: Bachelor s or Master s degree in computer science, Data Science, Engineering, or a related field (Master s/PG in AI/ML/DS preferred). Technical Skills: Python, Generative AI (LangChain, LLM APIs), NLP libraries (spaCy, NLTK, Hugging Face, etc.) Soft Skills: Consultative approach, Strong problem-solving skills, ability to work independently and as part of a team, excellent communication skills.