About Team and Role

We’re building the future of eCommerce product discovery, and we need a data-driven, AI-curious problem solver to join our team. This is an exciting, hands-on role at the intersection of data analytics, AI/ML experimentation, and prompt engineering—ideal for an early-career professional who loves writing SQL queries, building Python scripts, and experimenting with LLMs to solve real-world problems. You’ll be embedded in the Product Knowledge org, helping us clean, structure, and optimize taxonomy, ontology, and catalog data for next-gen search and recommendation engines. If you are eager to learn, thrive in quick-moving environments, and want to work directly with AI/ML, Product, and Engineering teams, this is the perfect place to accelerate your career.

What You’ll Do

Analyse eCommerce Product Data:

Run SQL queries and Python scripts to analyze taxonomy, ontology, and catalog data, identifying gaps and opportunities for search improvement. Experiment with LLMs:

Assist in building and testing prompt engineering workflows to automate data enrichment, product classification, and taxonomy validation. Support Model Evaluation:

Help test and evaluate the performance of product knowledge models, semantic search solutions, and embeddings against defined metrics. Collaborate Cross-Functionally:

Work closely with data scientists, product managers,



and engineers to execute data strategies and refine AI-based classification models. Build Quick Prototypes:

Move fast to test data hypotheses, run experiments, and help validate new structured data ideas for better product discovery.

What We’re Looking For

Experience:

2 to 7 years of hands-on experience in a data analytics, product analytics, data science role. Core Technical Skills:

Solid proficiency in SQL and Python for data extraction, manipulation, and analysis. Eagerness to Learn:

Strong interest in eCommerce search, recommendations, or knowledge graphs (prior exposure is a big plus). AI/LLM Curiosity:

Hands-on familiarity or side-project experience with LLMs, prompt engineering, or RAG concepts. Analytical Mindset:

Ability to look at data, spot patterns, and clearly communicate findings to immediate team members. Growth Mindset:

High energy, adaptability, and the ability to thrive and pick up recent skills quickly in a fast-paced environment.

Why Join Us?

Kickstart Your AI Career:

Get hands-on, real-world experience with AI/ML and LLMs in a high-scale environment. Learn from the Best:

Work directly alongside senior AI, Data Science, and Product teams. Quick-Track Growth:

Build foundational skills rapidly in a supportive, high-velocity, startup-like culture. Make a Visible Impact:

See your data analysis directly improve how millions of users discover products.

📌 Data Scientist (Mumbai)
🏢 Ebay
📍 Mumbai