Data Scientist

You are an experienced Data Scientist with 2-4 years of hands-on experience in developing machine learning and deep learning models, specifically in the domain of text analytics and natural language processing (NLP). You will be responsible for taking ownership of the entire process, from understanding requirements to proposing and designing effective solutions. This role requires a professional capable of developing innovative projects in NLP, text analytics, and text generation. Your key responsibilities will include collaborating with stakeholders to gather and understand business requirements, proposing and designing innovative solutions using machine learning and deep learning techniques, developing and validating models for text analytics, NLP, and text generation applications, analyzing and assessing the effectiveness of solutions through testing and validation, conducting comprehensive data analysis and statistical modeling to extract insights and drive data-driven decision-making, communicating insights and results clearly to both technical and non-technical audiences, staying updated on industry trends and advancements in data science and NLP, and mentoring and guiding juniors to foster a culture of continuous learning and improvement. Required Skill Set: - Good analytical skills and an inherent ability to solve problems. - Bachelors or masters degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. - Proven expertise in text analytics, NLP, machine learning, and deep learning. - Strong proficiency in Python, demonstrating algorithmic thinking. - Proven experience with machine learning libraries such as NLTK, spaCy, Scikit-learn, Pandas, and NumPy. - Experience in training and validating models using deep learning frameworks like TensorFlow or PyTorch, including Hugging Face. - Experience in tuning and validating models from the families of BERT, T5, BART, or FLAN-T5. - Experience in performing hyperparameter tuning in at least one project. Good To Have Skill Set: - In-depth knowledge of the fundamentals of transformer-based models and related techniques. - Hands-on experience with generative models (e.g., GANs, VAEs, GPT). - Experience developing with frameworks like LangChain and LlamaIndex. - Other GenAI related skills include RAG pipeline design, Multi-agentic solution.,