Staff/Principal Data Scientist

Summary

Join Order.co, a B2B e-commerce platform, as a Staff/Principal Level Data Scientist to lead transformative data initiatives. You will develop and deploy advanced statistical models and machine learning solutions, integrating Generative AI and Agentic AI technologies to automate workflows. Responsibilities include building scalable machine learning pipelines, translating analytical insights into business recommendations, and driving experimentation. You will also mentor data scientists and evaluate emerging AI technologies. This role requires an advanced degree in a quantitative discipline, 8+ years of experience in B2B or e-commerce, and expertise in mathematical statistics and machine learning. The ideal candidate will have experience with Generative AI and Agentic AI systems, proficiency in Python and relevant AI/ML frameworks, and strong communication skills.

Requirements

• Advanced degree (PhD or MS) in Mathematics, Statistics, Data Science, Computer Science, or related quantitative discipline
• 8+ years of professional experience applying statistical modeling and machine learning in B2B or e-commerce settings
• Deep expertise in mathematical statistics, causal inference, and experimental design to inform complex business decisions
• Proven track record of connecting technical work to measurable business results with a focus on revenue growth, customer acquisition, and operational efficiency
• Comfort with a relatively even split between opportunity identification and hands-on-keyboard execution
• 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
• Proficient in Python and relevant AI/ML frameworks such as PyTorch, TensorFlow, HuggingFace, and LangChain
• Practical experience with AWS SageMaker and deploying models in cloud environments optimized for scale and reliability
• 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
• Strong communication skills with experience collaborating with sales, marketing, product, operations, and engineering teams to drive business impact
• Experience with vector search databases, RAG systems, and AI orchestration for personalized content and recommendation engines

Responsibilities

• Develop and deploy advanced statistical models and machine learning solutions to improve B2B customer experience, pricing optimization, and personalization
• Work hand-in-hand with the head of data to design and integrate Generative AI and Agentic AI technologies to automate and augment internal and external workflows such as product recommendations, order fulfillment, and customer support
• Build scalable, end-to-end machine learning pipelines (currently using AWS SageMaker and other AWS services) tailored to high-volume transaction environments
• Translate sophisticated analytical insights into strategic business recommendations, with a track record of collaborating across teams to implement solutions effectively
• Design and implement complex stochastic and ensemble models to improve operations and business performance in a variety of functional areas
• Take action in situations without clear data precedent, balancing the need for academic rigor with a MVP mindset and ability to iteratively deliver DS/AI Models into production
• Drive experimentation frameworks and A/B testing to validate hypotheses and measure the impact of AI-driven initiatives on revenue and customer retention
• Mentor and guide data scientists, fostering a culture of innovation and rigorous quantitative analysis
• Evaluate and incorporate emerging AI technologies and tools to maintain a competitive edge in the fast-evolving B2B and e-commerce landscape

Benefits

• Flexible time off and remote work policies
• Medical, dental, vision, and 401(k) with match
• A fast-paced and collaborative team environment