Data Scientist

Experience:1-3 Years Qualification:Bachelor’s degree in Computer Science, Engineering, or a related field. Skills Required: Python, Pandas, NumPy, Scikit-learn, NLTK, Keras, SQL Job Profile: Qualifications: • Bachelor’s degree in Computer Science, Engineering, or a related field. • 1-3 years of proven experience in Data Science. • Strong theoretical and practical knowledge of advanced statistical algorithms, including machine learning, deep learning, and optimization techniques, with the ability to apply them effectively to real-world business problems. Responsibilities: • Design and develop end-to-end machine learning pipelines, including model development, tuning, implementation, and monitoring for various analytical use cases. • Collaborate closely with business stakeholders and product management teams to deliver impactful analytics solutions. • Present insights and analytical results to both technical and non-technical audiences in a clear and compelling manner. • Continuously explore and evaluate emerging tools and technologies to enhance solution efficiency and scalability. • Demonstrate outstanding analytical thinking and problem-solving skills. Mandatory Skills: Languages & Libraries: • Python, Pandas, NumPy, Scikit-learn, NLTK, Keras, SQL Techniques & Concepts: • Exploratory Data Analysis (EDA) • Machine Learning and Neural Networks • Transformers and Natural Language Processing (NLP) • Model building, hyperparameter tuning, and performance evaluation based on business metrics • Model deployment and MLOps practices • Strong foundation in Statistics (e.g., Probability Distributions, Hypothesis Testing) • Deep Learning techniques and architectures • Data pipelines and Data Engineering fundamentals Good to Have: • Expertise in Large Language Models (LLMs) for solving NLP problems using state-of-the-art models and services (e.g., OpenAI, Claude). • Familiarity with Retrieval-Augmented Generation (RAG) and techniques to enhance the performance and capabilities of LLM-based solutions. • Strong logical reasoning and design skills for creating effective, user-centric conversational flows for chatbot applications. • Passion for research and innovation, with a commitment to staying current on advancements in NLP, LLMs, and ML. • Experience in data modeling and designing robust data architectures.