Senior Data Science

Description About Harmonya Retailers and CPG brands rely on product data to make critical decisions, but outdated systems limit what’s possible. Harmonya changes that. Our AI-powered solutions transform fragmented, inconsistent product data into a dynamic, structured, and enriched source of truth. By analyzing trillions of alternative data points, we help leading CPGs and retailers—including Coca-Cola, Nestle, PepsiCo, and more—gain deeper insights, improve product discovery, and make smarter, faster decisions. About the Role We’re looking for a Senior Data Science who is excited about designing and building production-grade AI systems powered by modern LLMs and machine learning. This role is ideal for someone who enjoys working at the intersection of AI, engineering, and product, and who is passionate about turning cutting-edge AI capabilities into reliable, scalable systems that solve real customer problems. You’ll work closely with product managers, data scientists, and engineers to design, build, and deploy AI-powered solutions — including LLM pipelines, agents, and intelligent automation systems that power our core products. This is a hands-on role where you’ll take ownership of the full lifecycle of AI features — from problem framing and architecture design to deployment, evaluation, and iteration in production. Responsibilities: Design and build AI-powered systems that leverage LLMs, embeddings, and modern NLP techniques to transform raw product data into structured, actionable insights Develop and maintain production-grade AI pipelines including prompt workflows, agents, retrieval systems (RAG), and automated decision processes Work closely with product and engineering teams to translate business needs into scalable AI solutions Architect systems that combine LLMs, data pipelines, and traditional ML into robust end-to-end products Experiment with and integrate new AI tools, models, and frameworks to continuously improve system capabilities and performance Own the full lifecycle of AI features — from design and prototyping to deployment, monitoring, and iteration Ensure reliability and performance of AI systems in production, including evaluation frameworks, guardrails, and monitoring Collaborate across teams to define best practices for AI system design, prompt engineering, and agent orchestration Collaborate closely with cross-functional team members, effectively communicate complex ideas, share knowledge, and mentor engineers and data scientists to elevate team standards and impact Requirements Requirements: 6+ years of experience in software engineering, machine learning, data science, or related technical roles 3+ years of hands-on experience building machine learning or AI systems in production Strong experience working with textual data and NLP techniques such as embeddings, classification, semantic search, or information extraction Hands-on experience building applications powered by LLMs (e.g., prompt pipelines, RAG systems, agents, or structured extraction) Comfortable leveraging AI-powered developer tools (e.g., Cursor, Claude Code, Copilot, ChatGPT) to accelerate development and experimentation Strong product intuition — you focus on solving real user problems, not just building models Excellent collaboration and communication skills Degree in Computer Science, Engineering, or a related technical field — or equivalent practical experience