Demand Forecasting - Data Scientist

Job Summary: We are looking for a skilled Data Scientist with strong expertise in demand forecasting, predictive analytics, and emerging Generative AI technologies. The ideal candidate should have hands-on experience in machine learning, deep learning, NLP, and LLM-based solutions, along with proficiency in Python, SQL, Power BI, and advanced Excel. This role involves building scalable forecasting models and leveraging AI/GenAI to deliver actionable business insights. Key Responsibilities: Develop and deploy demand forecasting models using machine learning and deep learning techniques.Analyze historical data to identify trends, seasonality, and demand patterns.Build predictive models to improve supply chain and inventory planning.Work with large datasets using Python and SQL for data extraction, transformation, and analysis.Design dashboards and reports using Power BI for business stakeholders.Utilize advanced Excel techniques (Pivot Tables, Power Query, formulas) for analysis and reporting.Build and integrate NLP-based solutions for text data analysis and insights.Develop and implement LLM-based applications using Generative AI frameworks.Design and deploy RAG (Retrieval-Augmented Generation) pipelines for intelligent data retrieval and response generation.Collaborate with cross-functional teams (operations, finance, product) to align forecasting and AI solutions.Continuously improve model accuracy and performance through experimentation and optimization. Required Skills: Strong proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).Solid understanding of machine learning & deep learning algorithms.Experience in demand forecasting / time-series analysis (ARIMA, Prophet, LSTM, etc.).Hands-on experience with NLP techniques and libraries (NLTK, SpaCy, Transformers).Experience working with LLMs and Generative AI frameworks (OpenAI, Hugging Face, LangChain, etc.).Strong understanding of RAG architectures and vector databases (FAISS, Pinecone, etc.).Advanced knowledge of SQL for data manipulation.Hands-on experience with Power BI for visualization and reporting.Expertise in advanced Excel (Power Query, dashboards, data modeling).Strong analytical and problem-solving skills. Preferred Qualifications: Experience in supply chain, logistics, or e-commerce forecasting.Knowledge of cloud platforms (AWS, Azure, or GCP).Familiarity with data pipelines and ETL processes.Understanding of business metrics and KPIs related to demand planning. .