Data Science Data Science Senior Data Scientist

Intelligence Node® is a real-time retail intelligence platform that empowers businesses to drive product-level profitability and grow margins using data-driven real-time competitive insights. Intelligence Node's cutting-edge technology leverages AI to aggregate and analyze billions of data points across 1,900 retail categories in 34 global markets. Intelligence Node’s business model provides a comprehensive suite of solutions encompassing product matching, digital shelf analytics, assortment & availability, pricing & promotions, and brand compliance, to aid retailers and brands in all strategic and operational decision-making. Its patented product matching engine and proprietary AI offer 99% data accuracy and 10-second data refresh rates. In December 2024, Intelligence Node was acquired by Interpublic Group (IPG), a global leader in marketing solutions. Joining forces with IPG through this strategic acquisition allows Intelligence Node to deliver a future-ready combined solution to companies navigating the complexities of today's commerce landscape. Together, we can provide the comprehensive data, advanced analytics, and strategic expertise that enterprise brands and retailers need to win market share and drive sustainable growth. As a Senior Data Scientist at Intelligence Node, you will spearhead the application of advanced AI/ML in the retail and e-commerce space. With over a decade of experience, you will design, develop, and deploy next-generation AI systems that drive measurable business impact. You will lead initiatives in agentic AI, LLMs, computer vision, and neural architectures, building autonomous, intelligent pipelines that continuously learn, adapt, and optimize decision-making for retail intelligence at scale. Guide a team of data scientists, fostering innovation and best practices in AI/ML. Agentic AI & Multi-Agent Systems: Explore, design, and deploy agentic AI architectures (multi-agent collaboration, autonomous decision-making, orchestration frameworks such as LangGraph, CrewAI, or custom agent systems). LLM Innovation: Experiment with and operationalize Large Language Models (RAG pipelines, fine-tuning, prompt optimization, domain adaptation, agent integration). Computer Vision & Multimodal AI: Advance product recognition, OCR, embedding-based similarity, and visual transformers to improve catalog accuracy, image-based search, and content QA. Architect and deploy robust data pipelines and real-time AI services that handle large-scale retail/e-commerce datasets. Partner with product managers, engineers, and business leaders to design AI solutions aligned with customer needs and revenue goals. Thought Leadership: Stay ahead of emerging trends in LLMs, agentic AI, generative AI, multimodal models, and translate them into practical solutions for retail. 10+ years of proven experience in Data Science with leadership responsibilities. Strong programming skills in Python (preferred) or C++, with expertise in ML frameworks (PyTorch, TensorFlow, Hugging Face). Deep expertise in transformers, BERT, GPT-based architectures, and neural networks. Hands-on experience in computer vision (CNNs, visual transformers, OCR, multimodal embeddings). Experience with LLMs and Agentic AI, including: Building multi-agent AI systems (orchestration, role-based agents, autonomous workflows). Strong foundation in data engineering and scalable systems (Spark, Airflow, Kafka, or similar). Deep domain expertise in retail & e-commerce ecosystems (pricing, assortment, personalization, catalog intelligence). Demonstrated experience in mentoring and leading teams. Advanced degree (PhD preferred) in Computer Science, ML/AI, or related field. Experience with agentic AI frameworks (LangGraph, CrewAI, AutoGen, etc.). Strategic thinker who thrives at the intersection of cutting-edge AI and business impact. Excellent communication skills to bridge technical and non-technical teams. Passion for building AI systems that redefine the future of retail intelligence.