Job Url: https://www.remoterocketship.com/company/negotiatus/jobs/staff-principal-data-scientist-united-states Job Description: Order.co Website LinkedIn All Job Openings Order.co is a guided B2B marketplace with a mission to simplify buying for businesses. Order.co makes it easy for businesses to place and track purchases across all their vendors, control spend, and make payments in a single, consolidated bill. Tailored insights and purchasing recommendations fuel smarter spending decisions so businesses can easily save time and money on what they need to grow. Purchasing β€’ Integrated Payments β€’ Consolidated Billing β€’ Spend Management β€’ Vendor Management 51 - 200 employees πŸ’° $30M Series B on 2022-01 Staff Data Scientist, Principal 13 hours ago πŸ—½ New York – Remote πŸ’΅ $205k - $235k / year ⏰ Full Time πŸ”΄ Lead πŸ“Š Data Scientist Apply Now Receive Emails with Similar Jobs Report problem πŸ“‹ Description β€’ We’re looking for a Staff/Principal Level Data Scientist with strong foundations in mathematics and statistics as well as hands-on experience with cutting-edge AI tools to lead transformative data initiatives in the B2B e-commerce space. β€’ This role demands previous hands-on experience in Generative and Agentic AI and a deep understanding of neural networks, RAG architecture, and transformer technologies. β€’ This role will not only be responsible for technical delivery but also will be accountable for driving business growth through data-driven innovation. β€’ Staff/Principal level Data Scientists are expected to identify and develop technology solutions to company level objectives, make business cases to secure resources, and successfully launch and scale production projects. β€’ Impact should be measured at company level primary KPIs. 🎯 Requirements β€’ Advanced degree (PhD or MS) in Mathematics, Statistics, Data Science, Computer Science, or related quantitative discipline β€’ 8+ years of professional experience applying statistical modeling and machine learning in B2B or e-commerce settings β€’ Deep expertise in mathematical statistics, causal inference, and experimental design to inform complex business decisions β€’ Proven track record of connecting technical work to measurable business results with a focus on revenue growth, customer acquisition, and operational efficiency β€’ Comfort with a relatively even split between opportunity identification and hands-on-keyboard execution β€’ Proven ability to quickly test and iterate between candidate models with an eye to deploying the right solution that minimizes time to delivery while maximizing the needed performance and reliability metrics β€’ Proficient in Python and relevant AI/ML frameworks such as PyTorch, TensorFlow, HuggingFace, and LangChain β€’ Practical experience with AWS SageMaker and deploying models in cloud environments optimized for scale and reliability β€’ At least 1+ year of hands-on familiarity with Generative AI (e.g., LLMs, diffusion models) and Agentic AI systems tailored for internal and/or customer-facing applications β€’ Strong communication skills with experience collaborating with sales, marketing, product, operations, and engineering teams to drive business impact β€’ Experience with vector search databases, RAG systems, and AI orchestration for personalized content and recommendation engines πŸ–οΈ Benefits β€’ A competitive compensation package including equity and comprehensive benefits β€’ Flexible time off and remote work policies β€’ Medical, dental, vision, and 401(k) with match β€’ A fast-paced and collaborative team environment