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/li>
Create, experiment with, and deliver innovative solutions in a consultative mindset to client stakeholders using textual data
Qualification 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, Tensor Flow, 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