Data Scientist

Job description

**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 fast-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 new 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. - **Fast-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.