Lead Data Scientist

Job Responsibilities: Strong background in CPG Domain Largely in SRM within CPG, needs to know how to do demand forecasting, revenue management, and how to build pricing models. Understand business problems, making sense of the data landscape & footprint, performing a combination of exploratory, Machine Learning & Advanced Analytics on textual data. Create, experiment with, and deliver innovative solutions in a consultative mindset to client stakeholders using textual data. Qualifications for Lead Data Scientist: Total 8 years of experience using analytical tools/languages like Python on large-scale data. Must have Semantic model & NER experience. Experience working with pre-trained models, awareness of state-of-art in embeddings and applicability for use cases. Must have strong experience in NLP/NLG/NLU applications using popular Deep learning frameworks like PyTorch, TensorFlow, BERT, Langchain, and GPT (or similar models) Open CV. Must have exposure to Gen AI models (LLMs) like Mistral, Falcon, Llama 2, GPT 3.5 & 4, Prompt Engineering. Experience using Azure services for ML & GenAI projects is a plus. Demonstrated ability to engage with client stakeholders. Deep knowledge of techniques such as Linear Regression, gradient descent, Logistic Regression, Forecasting, Cluster analysis, Decision trees, Linear Optimization, Text Mining. Strong understanding of integrating NLP models into business workflows. Prospect should have exposure to project initiation to business impact creation in at least one project. Broad knowledge of fundamentals and state-of-the-art in NLP and machine learning. Coding skills in one or more programming languages such as Python, SQL. Hands-on experience with popular ML frameworks such as TensorFlow. Expert / high level of understanding of language semantic concepts & data standardization. J-18808-Ljbffr