Data Scientist - Quick Commerce

Requirements

• 3+ years of industry experience applying Data Science and Machine Learning in production, ideally in large-scale consumer-facing applications.
• Deep expertise in building and deploying ML models, particularly in Natural Language Processing (NLP), classification, recommendation systems, and LLMs or agentic frameworks.
• Strong statistical foundations and ability to distinguish signal from noise in large-scale experimentation and model validation.
• Excellent engineering skills: write clean, maintainable Python code; experience bringing ML models into production with best practices for observability, monitoring, and performance.
• Experience with large-scale ML model validation, experimentation, and A/B testing.
• Proven ability to work cross-functionally with engineers and product stakeholders, translating business problems into data science solutions.

Nice to Have

• PhD in AI, Machine Learning, or a related field.
• Experience scaling catalog automation or content generation systems across multiple markets and heterogeneous platforms.
• Experience in designing or building Agentic AI systems.
• Experience in fine-tuning Large Language Models.
• Familiarity with cloud platforms (GCP preferred).
• Contributions to the data science community (conference talks, papers, OSS).

What You'll Be Doing

• Design, experiment, and deploy AI/ML models/Agents to automate the enrichment and moderation of product attributes at scale.
• Drive experimentation: formulate hypotheses, validate model performance, analyze business impact, and turn insights into production-ready models.
• Develop and provide ML models to intelligently curate the product assortment, including attribute extraction, product categorization, category tree recommendations, and the curation of high-impact featured categories.
• Keep yourself up to date and apply state-of-the-art models (e.g., in NLP, deep learning, classification, LLMs/AI agents) to see what truly works best for our catalog automation.
• Collaborate closely with MLEs and Engineers to ensure solutions are scalable, reliable, and fast in production.
• Contribute to the long-term vision of catalog automation and AI-driven assortment, while delivering short-term wins that unlock measurable business impact.

Perks and Benefits

We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you. We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience—just include it in your application. You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.