Job Description

Company Overview: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. Job Description:As a Senior Data Scientist at Intelligence Node, you will lead a team of data scientists and collaborate closely with key business stakeholders. Develop advanced machine learning models and neural networks to solve complex problems in the retail and e-commerce sectors. Experiment with LLMs (Large Language Models) Lead the design and development of scalable data pipelines. Mentor junior data scientists Drive the deployment of predictive models into production. Required Skill Set Strong proficiency in Python or C++ Deep understanding of BERT, transformers, and other advanced machine learning architectures Expertise in computer vision techniques and applications e.g., specialized embedding techniques such as visual transformers and OCR. LLMs understanding and curiosity to explore (out of box deployment, RAG, fine tune etc.) Extensive retail and e-commerce experience is preferred. PhD in a related field is preferred. Desired profile of the candidate Exceptional communication skills Leadership ability in fast-paced environments Results-oriented and analytical Experience leading cross-functional teams. Ability to derive actionable insights from complex data. Experience Required: 7-10yrs