Data Science Manager Knowledge Management

eBay

7 - 12 years

11 - 15 Lacs

bengaluru

Posted:-1 days ago| Platform:

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Skills Required

automation metadata product engineering prototype data science analytical e-commerce analytics sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

What You ll Lead Deliver

Optimize Product Knowledge at Scale
Conduct deep analytical dives using SQL and Python to enhance taxonomy, ontology, and structured catalog data that directly impact product discovery.
Build LLM-Powered Solutions
Use prompt engineering and retrieval-augmented generation (RAG) to create scalable, AI-powered tools for classification, data enrichment, and catalog intelligence.
Design Model Evaluation Frameworks
Establish robust metrics and test beds to evaluate semantic search models, embeddings, and ML-powered classification systems.
Turn Data into Strategy
Translate insights into action by partnering with Product, Engineering, and AI teams driving roadmap priorities for catalog optimization, entity resolution, and knowledge graph evolution.
Prototype Experiment Rapidly
Move quickly to test ideas and validate structured data strategies. Build proof-of-concepts that can scale into enterprise-level solutions.
Partner for Production Impact
Collaborate closely with applied ML, engineering, and product teams to refine and operationalize AI models in real-world, high-scale systems.

What You Bring

7+ years of experience in analytics, data science, or ML roles
Advanced proficiency in SQL and Python for analytics, automation, and experimentation
Familiarity with eCommerce discovery , product classification, and search or recommendation systems
Hands-on experience with LLMs, prompt engineering, or RAG (preferred but not required)
Strong grasp of model evaluation , including metrics design and benchmarking
A startup mindset bias for action, high ownership, and comfort with ambiguity
Excellent communicator with the ability to influence cross-functional stakeholders

Why You ll Love It Here

Drive real impact at the core of product discovery innovation
Work hands-on with cutting-edge AI and data platforms
Collaborate with some of the best minds in AI, Product, and Engineering
Own high-visibility projects in a startup-like, high-trust culture
Build scalable, magical, and relevant product data systems used by millions

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