Ebay Data Science Analyst 

India, Karnataka, Bengaluru 

412261767

What you will accomplish:

• Modeling & NLP Development
  • Design LLM-based pipelines (e.g., using Langchain frameworks) to identify and summarize customer pain points from textual data.
  • Develop summarization, clustering, and topic modeling approaches to group recurring themes across markets and product lines.
  • Apply prompt engineering , retrieval-augmented generation (RAG) , and embedding search to improve model accuracy and relevance.
  • Use machine learning methods in concert with LLM.

• Data Engineering & Processing
  • Build and maintain data pipelines to ingest and clean data from diverse sources (e.g., surveys, customer support tickets, product reviews, social media, and CRM systems).
  • Ensure data quality, scalability, and compliance with internal governance and data privacy policies.
  • Productionize models and integrate outputs with downstream systems and dashboards.

• Insights Delivery & Visualization
  • Design and build interactive visualizations (in JavaScript) that make model outputs accessible and actionable for non-technical stakeholders.
  • Partner with Insights teams to create data stories and presentations that influence business strategy using clear, human-readable summaries of complex findings.

What you will bring:

• Ability to derive insight from data, visualize it appropriately and influence others to drive outcomes
• MSc or PhD in Computer Science, Data Science, Statistics, or a related field .
• 4+ years of experience in machine learning , NLP , or data-driven product development .
• Strong coding proficiency in Python (Pandas, PyTorch, Hugging Face, LangChain, umap, hdbscan, etc.)
• Strong experience with front end development with JavaScript and data visualization libraries (e.g. D3.js)
• Experience deploying and managing machine learning services in containerized environments using Docker and Kubernetes .
• Deep understanding of vector databases , semantic search , and embedding-based retrieval systems .
• Proficient with GitHub and modern version control best practices (e.g. code reviews, CI/CD workflows).
• Proven experience working with large-scale unstructured text data .