Data Scientist
Core
Data Scientist in Insights & Product Analytics team converting diverse structured and unstructured data into actionable insights and decision support using NLP, ML, and LLMs.
Role type
Senior IC Data Scientist (NLP/LLM)
Builds
Text analytics capabilities, knowledge retrieval systems, and explainable insights for large-scale unstructured data.
Domain
Enterprise AI, Natural Language Processing, Generative AI
Deliverable
production ML models
Required skills
Python, LLM customization (RAG, tuning, prompting), NLP, Machine Learning, Deep Learning, Vector databases (FAISS, pgvector), Cloud platforms (AWS/Azure/GCP), Distributed computing (Spark/Databricks), Data cleaning and normalization, Responsible AI practices
Preferred skills
Experience with Generative AI techniques, Prompt engineering, Model lifecycle management, Visualization tools (Power BI, Streamlit)
Technologies
Python, TensorFlow, PyTorch, SpaCy, NLTK, Databricks, AWS, Azure, GCP, FAISS, pgvector, GitHub, Bitbucket, Confluence
Responsibilities
Execute large-scale data science projects to extract and visualize insights from structured and unstructured data; Collaborate with stakeholders to design and execute solutions using ML, Deep Learning, and Generative AI; Innovate in text analytics to interpret complex datasets; Define standards for evaluation, guardrails, and hallucination control to ensure trustworthy AI; Enforce best practices in documentation and model lifecycle management; Ensure responsible AI practices covering data privacy and auditability.
Seniority
Mid-Senior, hands-on IC
